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ORCIDBing Wang 0004
Person information
- affiliation: Tongji University, Shanghai, China
- affiliation (former): Anhui University of Technology, School of Electrical and Information Engineering, China
- affiliation (PhD 2006): University of Science and Technology of China, Hefei, China
Other persons with the same name
- Bing Wang — disambiguation page
- Bing Wang 0001
![[0000-0002-7632-6512]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-7632-6512")
— University of Connecticut, Computer Science and Engineering Department, Storrs, CT, USA (and 1 more) - Bing Wang 0002 — Shanghai University, School of Mechatronics and Automation, China
- Bing Wang 0003 — Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore
- Bing Wang 0005 — Virginia Polytechnic Institute and State University, Department of Computer Science, Falls Church, VA, USA (and 1 more)
- Bing Wang 0006 — Shanghai Jiao Tong University, Department of Automation, Key Laboratory of System Control and Information Processing, China
- Bing Wang 0007 — Stony Brook University, Computer Science Department, Visual Analytics and Imaging Lab., NY, USA
- Bing Wang 0008 — East China Normal University, Department of Mathematics, Shanghai Key Laboratory of PMMP, China
- Bing Wang 0009 — National Digital Switching System Engineering and Technological Research Center, Zhengzhou, China
- Bing Wang 0010 — China University of Petroleum, State Key Laboratory of Petroleum Resources and Prospecting, Beijing, China
- Bing Wang 0011 — University of New South Wales, Canberra, Australia
- Bing Wang 0012 — University of York, UK
- Bing Wang 0013 — University at Oxford, UK (and 1 more)
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2020 – today
- 2023
[j47]Peng Chen, Huimin Shen, Youzhi Zhang, Bing Wang, Pengying Gu:
SGNet: Sequence-Based Convolution and Ligand Graph Network for Protein Binding Affinity Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 3257-3266 (2023)- [j46]Xin Xiang, Zenghui Wang, Jun Zhang, Yi Xia, Peng Chen, Bing Wang:
AGCA: An Adaptive Graph Channel Attention Module for Steel Surface Defect Detection. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [c46]Lang Xu, Yi Xia, Jun Zhang, Bing Wang, Peng Chen:
Improved YOLOv5s Method for Nut Detection on Ultra High Voltage Power Towers. ICIC (5) 2023: 277-287 - [c45]Zihan Niu, Yi Xia, Jun Zhang, Bing Wang, Peng Chen:
Improved Deep Learning-Based Efficientpose Algorithm for Egocentric Marker-Less Tool and Hand Pose Estimation in Manual Assembly. ICIC (5) 2023: 288-298 - [c44]Lejun Pan, Wenyan Wang, Kun Lu, Jun Zhang, Peng Chen, Jiawei Ni, Chenlin Zhu, Bing Wang:
Efficient and Precise Detection of Surface Defects on PCBs: A YOLO Based Approach. ICIC (2) 2023: 601-613 - [c43]Chenlin Zhu, Wenyan Wang, Kun Lu, Jun Zhang, Peng Chen, Lejun Pan, Jiawei Ni, Bing Wang:
Corneal Ulcer Automatic Classification Network Based on Improved Mobile ViT. ICIC (2) 2023: 614-625 - [c42]Jiawei Ni, Bing Wang, Kun Lu, Jun Zhang, Peng Chen, Lejun Pan, Chenlin Zhu, Bing Wang, Wenyan Wang:
Multiple Classification Network of Concrete Defects Based on Improved EfficientNetV2. ICIC (2) 2023: 626-638 - 2022
- [j45]Min Yang, Huandong Yang, Lei Ji, Xuan Hu, Geng Tian, Bing Wang, Jialiang Yang:
A multi-omics machine learning framework in predicting the survival of colorectal cancer patients. Comput. Biol. Medicine 146: 105516 (2022) - [j44]Minjie Li, Ziheng Wu, Wenyan Wang, Kun Lu, Jun Zhang, Yuming Zhou, Zhaoquan Chen, Dan Li, Shicheng Zheng, Peng Chen, Bing Wang:
Protein-Protein Interaction Sites Prediction Based on an Under-Sampling Strategy and Random Forest Algorithm. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3646-3654 (2022) - [j43]Wenyan Wang, Chunfeng Mi, Ziheng Wu, Kun Lu, Hongming Long, Baigen Pan, Dan Li, Jun Zhang, Peng Chen, Bing Wang:
A Real-Time Steel Surface Defect Detection Approach With High Accuracy. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - [j42]Zenghui Wang, Jun Zhang, Xiaochu Zhang, Peng Chen, Bing Wang:
Transformer Model for Functional Near-Infrared Spectroscopy Classification. IEEE J. Biomed. Health Informatics 26(6): 2559-2569 (2022) - [c41]Xinghui Zhang, Chunhou Zheng, Peng Chen, Jun Zhang, Bing Wang:
A Sub-network Aggregation Neural Network for Non-invasive Blood Pressure Prediction. ICIC (1) 2022: 753-762 - 2021
- [j41]Peng Chen, Weilu Li, Sijie Yao, Chun Ma, Jun Zhang, Bing Wang, Chunhou Zheng, Chengjun Xie, Dong Liang:
Recognition and counting of wheat mites in wheat fields by a three-step deep learning method. Neurocomputing 437: 21-30 (2021) - [j40]Qianqian Wang, Jun Zhang, Peng Chen, Bing Wang:
Automatic estimation of road visibility in foggy weather based on image feature statistics. J. Electronic Imaging 30(5) (2021) - [j39]Wenyan Wang, Jun Zhang, Fang Zhou, Peng Chen, Bing Wang:
Paper acceptance prediction at the institutional level based on the combination of individual and network features. Scientometrics 126(2): 1581-1597 (2021) - [j38]Bing Wang, Changqing Mei, Yuanyuan Wang, Yuming Zhou, Mu-Tian Cheng, Chunhou Zheng, Lei Wang, Jun Zhang, Peng Chen, Yan Xiong:
Imbalance Data Processing Strategy for Protein Interaction Sites Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 985-994 (2021) - [j37]Wenyan Wang, Yuming Zhou, Mu-Tian Cheng, Yan Wang, Chun-Hou Zheng, Yan Xiong, Peng Chen, Zhiwei Ji, Bing Wang:
Potential Pathogenic Genes Prioritization Based on Protein Domain Interaction Network Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 1026-1034 (2021) - [j36]ShanShan Hu, DeNan Xia, Benyue Su, Peng Chen, Bing Wang, Jin-Yan Li:
A Convolutional Neural Network System to Discriminate Drug-Target Interactions. IEEE ACM Trans. Comput. Biol. Bioinform. 18(4): 1315-1324 (2021) - 2020
- [j35]Peng Chen, Qingxin Xiao, Jun Zhang, Chengjun Xie, Bing Wang:
Occurrence prediction of cotton pests and diseases by bidirectional long short-term memory networks with climate and atmosphere circulation. Comput. Electron. Agric. 176: 105612 (2020) - [j34]Dan Li, Qiannan Xu, Wennian Yu, Bing Wang:
SRP-AKAZE: an improved accelerated KAZE algorithm based on sparse random projection. IET Comput. Vis. 14(4): 131-137 (2020) - [j33]Kai-Chao Miao, Ting-Ting Han, Ye-Qing Yao, Hui Lu, Peng Chen, Bing Wang, Jun Zhang:
Application of LSTM for short term fog forecasting based on meteorological elements. Neurocomputing 408: 285-291 (2020) - [j32]Tao Fang, Peng Chen, Jun Zhang, Bing Wang:
Crop leaf disease grade identification based on an improved convolutional neural network. J. Electronic Imaging 29(1): 013004 (2020) - [j31]Baohua Yang, Lin Qi, Mengxuan Wang, Saddam Hussain, Huabin Wang, Bing Wang, Jingming Ning:
Cross-Category Tea Polyphenols Evaluation Model Based on Feature Fusion of Electronic Nose and Hyperspectral Imagery. Sensors 20(1): 50 (2020) - [j30]Qian Yan, Baohua Yang, Wenyan Wang, Bing Wang, Peng Chen, Jun Zhang:
Apple Leaf Diseases Recognition Based on An Improved Convolutional Neural Network. Sensors 20(12): 3535 (2020) - [j29]Baohua Yang, Yuan Gao, Qian Yan, Lin Qi, Yue Zhu, Bing Wang:
Estimation Method of Soluble Solid Content in Peach Based on Deep Features of Hyperspectral Imagery. Sensors 20(18): 5021 (2020) - [j28]ShanShan Hu, Peng Chen, Pengying Gu, Bing Wang:
A Deep Learning-Based Chemical System for QSAR Prediction. IEEE J. Biomed. Health Informatics 24(10): 3020-3028 (2020) - [c40]Xiaofeng Cong, Jie Gui, Kai-Chao Miao, Jun Zhang, Bing Wang, Peng Chen:
Discrete Haze Level Dehazing Network. ACM Multimedia 2020: 1828-1836
2010 – 2019
- 2019
- [j27]Jiechen Li, Xueyong Li, Xiang Feng, Bing Wang, Bihai Zhao, Lei Wang:
A novel target convergence set based random walk with restart for prediction of potential LncRNA-disease associations. BMC Bioinform. 20(1): 626 (2019) - [j26]Qingxin Xiao, Weilu Li, Yuanzhong Kai, Peng Chen, Jun Zhang, Bing Wang:
Occurrence prediction of pests and diseases in cotton on the basis of weather factors by long short term memory network. BMC Bioinform. 20-S(25): 688 (2019) - [j25]ShanShan Hu, Chenglin Zhang, Peng Chen, Pengying Gu, Jun Zhang, Bing Wang:
Predicting drug-target interactions from drug structure and protein sequence using novel convolutional neural networks. BMC Bioinform. 20-S(25): 689 (2019) - [j24]Ye Wang, Changqing Mei, Yuming Zhou, Yan Wang, Chunhou Zheng, Xiao Zhen, Yan Xiong, Peng Chen, Jun Zhang, Bing Wang:
Semi-supervised prediction of protein interaction sites from unlabeled sample information. BMC Bioinform. 20-S(25): 699 (2019) - [j23]Muchun Zhu, Xiaoping Song, Peng Chen, Wenyan Wang, Bing Wang:
dbHDPLS: A database of human disease-related protein-ligand structures. Comput. Biol. Chem. 78: 353-358 (2019) - [j22]Lin-Wei Ge, Jun Zhang, Yi Xia, Peng Chen, Bing Wang, Chun-Hou Zheng:
Deep spatial attention hashing network for image retrieval. J. Vis. Commun. Image Represent. 63 (2019) - [j21]Jie Hang, Dexiang Zhang, Peng Chen, Jun Zhang, Bing Wang:
Classification of Plant Leaf Diseases Based on Improved Convolutional Neural Network. Sensors 19(19): 4161 (2019) - [j20]Baohua Yang, Mengxuan Wang, Zhengxia Sha, Bing Wang, Jianlin Chen, Xia Yao, Tao Cheng, Weixing Cao, Yan Zhu:
Evaluation of Aboveground Nitrogen Content of Winter Wheat Using Digital Imagery of Unmanned Aerial Vehicles. Sensors 19(20): 4416 (2019) - [c39]Jie Hang, Dexiang Zhang, Peng Chen, Jun Zhang, Bing Wang:
Identification of Apple Tree Trunk Diseases Based on Improved Convolutional Neural Network with Fused Loss Functions. ICIC (1) 2019: 274-283 - [c38]Wenyan Wang, Guangyu Wang, Jun Zhang, Peng Chen, Bing Wang:
Ranking Research Institutions Based on the Combination of Individual and Network Features. ICIC (3) 2019: 443-454 - [c37]Guangyu Wang, Bing Dai, Wenyan Wang, Hongming Long, Jun Zhang, Peng Chen, Bing Wang:
An Optimization Regression Model for Predicting Average Temperature of Core Dead Stock Column. ICIC (3) 2019: 468-478 - [c36]Xiao-Tao Xu, Jun Zhang, Peng Chen, Bing Wang, Yi Xia:
Urine Sediment Detection Based on Deep Learning. ICIC (1) 2019: 543-552 - [c35]Tao Fang, Peng Chen, Jun Zhang, Bing Wang:
Identification of Apple Leaf Diseases Based on Convolutional Neural Network. ICIC (1) 2019: 553-564 - [c34]Panpan Lu, Kun Lu, Wenyan Wang, Jun Zhang, Peng Chen, Bing Wang:
Real-Time Pedestrian Detection in Monitoring Scene Based on Head Model. ICIC (2) 2019: 558-568 - 2018
- [j19]Quanya Liu, Peng Chen, Bing Wang, Jun Zhang, Jinyan Li:
dbMPIKT: a database of kinetic and thermodynamic mutant protein interactions. BMC Bioinform. 19(1): 455:1-455:7 (2018) - [j18]Quanya Liu, Peng Chen, Bing Wang, Jun Zhang, Jinyan Li:
Hot spot prediction in protein-protein interactions by an ensemble system. BMC Syst. Biol. 12(9): 132 (2018) - [j17]Fang Zhou, Tin-Yu Wu, Jun Liu, Bing Wang, Mohammad S. Obaidat:
A 3D neural network for moving microorganism extraction. Neural Comput. Appl. 30(1): 57-67 (2018) - [j16]DeNan Xia, Peng Chen, Bing Wang, Jun Zhang, Chengjun Xie:
Insect Detection and Classification Based on an Improved Convolutional Neural Network. Sensors 18(12): 4169 (2018) - [c33]Jun Zhang, Hui Lu, Yi Xia, Ting-Ting Han, Kai-Chao Miao, Ye-Qing Yao, Cheng-Xiao Liu, Jian-Ping Zhou, Peng Chen, Bing Wang:
Deep Convolutional Neural Network for Fog Detection. ICIC (2) 2018: 1-10 - [c32]Qingxin Xiao, Weilu Li, Peng Chen, Bing Wang:
Prediction of Crop Pests and Diseases in Cotton by Long Short Term Memory Network. ICIC (2) 2018: 11-16 - [c31]Run-xu Tan, Jun Zhang, Peng Chen, Bing Wang, Yi Xia:
Cells Counting with Convolutional Neural Network. ICIC (3) 2018: 102-111 - [c30]Ting-Ting Han, Kai-Chao Miao, Ye-Qing Yao, Cheng-Xiao Liu, Jian-Ping Zhou, Hui Lu, Peng Chen, Xia Yi, Bing Wang, Jun Zhang:
Convolutional Neural Network for Short Term Fog Forecasting Based on Meteorological Elements. ICIC (3) 2018: 143-148 - [c29]ShanShan Hu, DeNan Xia, Peng Chen, Bing Wang:
Using Novel Convolutional Neural Networks Architecture to Predict Drug-Target Interactions. ICIC (2) 2018: 432-437 - [c28]Nian Zhou, Lingshan Zhou, Lili Peng, Bing Wang, Peng Chen, Jun Zhang:
Verifying TCM Syndrome Hypothesis Based on Improved Latent Tree Model. ICIC (2) 2018: 460-469 - [c27]Wei-wei Gao, Jun Zhang, Peng Chen, Bing Wang, Yi Xia:
Chinese Text Detection Using Deep Learning Model and Synthetic Data. ICIC (1) 2018: 503-512 - [c26]Lili Peng, Fang Chen, Nian Zhou, Peng Chen, Jun Zhang, Bing Wang:
Prediction of Protein-Protein Interaction Sites Combing Sequence Profile and Hydrophobic Information. ICIC (1) 2018: 697-702 - 2017
- [j15]Zhiwei Ji, Bing Wang, Ke Yan, Ligang Dong, Guanmin Meng, Lei Shi:
A linear programming computational framework integrates phosphor-proteomics and prior knowledge to predict drug efficacy. BMC Syst. Biol. 11(S-7): 127:1-127:13 (2017) - [j14]Sen Xia, Peng Chen, Jun Zhang, Xiaoping Li, Bing Wang:
Utilization of rotation-invariant uniform LBP histogram distribution and statistics of connected regions in automatic image annotation based on multi-label learning. Neurocomputing 228: 11-18 (2017) - [j13]Jun Zhang, Muchun Zhu, Peng Chen, Bing Wang:
DrugRPE: Random projection ensemble approach to drug-target interaction prediction. Neurocomputing 228: 256-262 (2017) - [j12]Jun Zhang, Chun-Hou Zheng, Yi Xia, Bing Wang, Peng Chen:
Optimization enhanced genetic algorithm-support vector regression for the prediction of compound retention indices in gas chromatography. Neurocomputing 240: 183-190 (2017) - [c25]Feng-Lin Du, Jia-Xing Li, Zhi Yang, Peng Chen, Bing Wang, Jun Zhang:
CAPTCHA Recognition Based on Faster R-CNN. ICIC (2) 2017: 597-605 - [c24]Wenyan Wang, Kun Lu, Rui Hong, Peng Chen, Jun Zhang, Bing Wang:
A Machine Vision Method for Automatic Circular Parts Detection Based on Optimization Algorithm. ICIC (1) 2017: 600-611 - 2016
- [j11]Jun Zhang, Yi Xia, Chun-Hou Zheng, Bing Wang, Xiang Zhang, Peng Chen:
Combine multiple mass spectral similarity measures for compound identification. Int. J. Data Min. Bioinform. 15(1): 84-100 (2016) - [j10]Peng Chen, ShanShan Hu, Jun Zhang, Xin Gao, Jinyan Li, Junfeng Xia, Bing Wang:
A Sequence-Based Dynamic Ensemble Learning System for Protein Ligand-Binding Site Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 13(5): 901-912 (2016) - [c23]Bing Wang, Rui Hong, Yanhui Xu, Fang Zhou, Peizhen Wang:
Identifying mild cognitive impairment conversion to Alzheimer's disease from medical image information. ICCE-TW 2016: 1-2 - [c22]Fang Zhou, Jun Liu, Bing Wang, Peizhen Wang:
An improved multilayer self-organizing background subtraction algorithm for microorganism detection in sewage. ICCE-TW 2016: 1-2 - [c21]Peizhen Wang, Rui Sun, Dailin Zhang, Fang Zhou, Bing Wang:
Classification of inertinite in coal macerical based on virtual sample. ICCE-TW 2016: 115-116 - [c20]ShanShan Hu, Peng Chen, Jun Zhang, Bing Wang:
Prediction of Hot Spots Based on Physicochemical Features and Relative Accessible Surface Area of Amino Acid Sequence. ICIC (1) 2016: 422-431 - [c19]Zhen Sun, Jun Zhang, Chun-Hou Zheng, Bing Wang, Peng Chen:
Accurate Prediction of Protein Hot Spots Residues Based on Gentle AdaBoost Algorithm. ICIC (1) 2016: 742-749 - [c18]Zhongwen Zhang, Peng Chen, Jun Zhang, Bing Wang:
Inferring Disease-Related Domain Using Network-Based Method. ICIC (1) 2016: 775-783 - [c17]Hao Shen, Wen Zhang, Peng Chen, Jun Zhang, Aiqin Fang, Bing Wang:
A Feature Selection Scheme for Accurate Identification of Alzheimer's Disease. IWBBIO 2016: 71-81 - 2015
- [j9]Zhiwei Ji, Guanmin Meng, Deshuang Huang, Xiao-Qiang Yue, Bing Wang:
NMFBFS: A NMF-Based Feature Selection Method in Identifying Pivotal Clinical Symptoms of Hepatocellular Carcinoma. Comput. Math. Methods Medicine 2015: 846942:1-846942:12 (2015) - [c16]Sen Xia, Peng Chen, Jun Zhang, Xiaoping Li, Bing Wang:
A Multi-feature Fusion Method for Automatic Multi-label Image Annotation with Weighted Histogram Integral and Closure Regions Counting. ICIC (3) 2015: 323-330 - [c15]Peng Chen, ShanShan Hu, Bing Wang, Jun Zhang:
Sequence-Based Random Projection Ensemble Approach to Identify Hotspot Residues from Whole Protein Sequence. ICIC (2) 2015: 379-389 - [c14]Wen Zhang, Hao Shen, Zhiwei Ji, Guanmin Meng, Bing Wang:
Identification of Mild Cognitive Impairment Using Extreme Learning Machines Model. ICIC (2) 2015: 589-600 - [c13]Peng Chen, ShanShan Hu, Bing Wang, Jun Zhang:
A Random Projection Ensemble Approach to Drug-Target Interaction Prediction. ICIC (3) 2015: 693-699 - [c12]Bing Wang, Liyan Du, Jun Zhang, Peng Chen:
A hierarchical model for identifying mild cognitive impairment. ICNC 2015: 599-604 - 2014
- [j8]Zhiwei Ji, Bing Wang, Suping Deng, Zhuhong You:
Predicting dynamic deformation of retaining structure by LSSVR-based time series method. Neurocomputing 137: 165-172 (2014) - 2013
- [j7]Zhu-Hong You, Ying-Ke Lei, Lin Zhu, Junfeng Xia, Bing Wang:
Prediction of protein-protein interactions from amino acid sequences with ensemble extreme learning machines and principal component analysis. BMC Bioinform. 14(S-8): S10 (2013) - [j6]Bing Wang, Jun Zhang, Peng Chen, Zhiwei Ji, Shuping Deng, Chi Li:
Prediction of peptide drift time in ion mobility mass spectrometry from sequence-based features. BMC Bioinform. 14(S-8): S9 (2013) - [j5]Jian-Xun Mi, De-Shuang Huang, Bing Wang, Xingjie Zhu:
The nearest-farthest subspace classification for face recognition. Neurocomputing 113: 241-250 (2013) - [c11]Bing Wang, De-Shuang Huang:
Dataset reconstruction for protein interface identification using manifold learning method. BIBM 2013: 398-403 - [c10]Bing Wang, Zhiwei Ji:
Disease-Related Gene Expression Analysis Using an Ensemble Statistical Test Method. ICIC (2) 2013: 286-291 - 2011
- [j4]Seongho Kim, Aiqin Fang, Bing Wang, Jaesik Jeong, Xiang Zhang:
An optimal peak alignment for comprehensive two-dimensional gas chromatography mass spectrometry using mixture similarity measure. Bioinform. 27(12): 1660-1666 (2011) - [c9]Bing Wang, Peng Chen, Jun Zhang:
Protein Interface Residues Prediction Based on Amino Acid Properties Only. ICIC (3) 2011: 448-452 - [c8]Bing Wang, Aiqin Fang, Xue Shi, Seongho Kim, Xiang Zhang:
DISCO2: A Comprehensive Peak Alignment Algorithm for Two-Dimensional Gas Chromatography Time-of-Flight Mass Spectrometry. ICIC (3) 2011: 486-491 - 2010
- [j3]Bing Wang, Steve Valentine, Manolo Plasencia, Sriram Raghuraman, Xiang Zhang:
Artificial neural networks for the prediction of peptide drift time in ion mobility mass spectrometry. BMC Bioinform. 11: 182 (2010) - [j2]Bing Wang, Fahim Mohammad, Jun Zhang, Xinmin Yin, Eric C. Rouchka, Xiang Zhang:
Statistical analysis of multiple significance test methods for differential proteomics. BMC Bioinform. 11(S-4): P30 (2010) - [c7]Jun Zhang, Bing Wang, Xiang Zhang:
Optimal Selection of Support Vector Regression Parameters and Molecular Descriptors for Retention Indices Prediction. ICIC (2) 2010: 83-90
2000 – 2009
- 2009
- [j1]Bing Wang, Steve Valentine, Sriram Raghuraman, Manolo Plasencia, Xiang Zhang:
Prediction of peptide drift time in ion mobility-mass spectrometry. BMC Bioinform. 10(S-7) (2009) - [c6]Peng Chen, Chunmei Liu, Legand L. Burge III, Mahmood Mohammad, William M. Southerland, Clay S. Gloster Jr., Bing Wang:
IRCDB: A Database of Inter-residues Contacts in Protein Chains. DBKDA 2009: 1-6 - 2007
- [c5]Bing Wang, Lu-Sheng Ge, De-Shuang Huang, Hau-San Wong:
Prediction of Protein-Protein Interacting Sites by Combining SVM Algorithm with Bayesian Method. ICNC (2) 2007: 329-333 - [c4]Peng Chen, Bing Wang, Hau-San Wong, De-Shuang Huang:
Prediction of Long-range Contacts from Sequence Profile. IJCNN 2007: 938-943 - [c3]Junfeng Xia, Bing Wang, De-Shuang Huang:
Inferring Strengths of Protein-Protein Interaction Using Artificial Neural Network. IJCNN 2007: 2471-2475 - 2006
- [c2]Bing Wang, Hau-San Wong, Peng Chen, Hong-Qiang Wang, De-Shuang Huang:
Predicting Protein-Protein Interaction Sites using Radial Basis Function Neural Networks. IJCNN 2006: 2325-2330 - [c1]Peng Chen, Bing Wang, Hau-San Wong, De-Shuang Huang:
Long-Range Interaction Analysis using Principal Component Analysis. IJCNN 2006: 2331-2336
Coauthor Index
[j47] [j46] [c46] [c45] [c44] [c43] [c42] [j44] [j43] [j42] [c41] [j41] [j40] [j39] [j38] [j37] [j36] [j35] [j33] [j32] [j30] [j28] [c40] [j26] [j25] [j24] [j23] [j22] [j21] [c39] [c38] [c37] [c36] [c35] [c34] [j19] [j18] [j16] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [j14] [j13] [j12] [c25] [c24] [j11] [j10] [c20] [c19] [c18] [c17] [c16] [c15] [c13] [c12] [j6] [c9] [c6] [c4] [c2] [c1]
[j46] [c46] [c45] [c44] [c43] [c42] [j44] [j43] [j42] [c41] [j41] [j40] [j39] [j38] [j35] [j33] [j32] [j30] [c40] [j26] [j25] [j24] [j22] [j21] [c39] [c38] [c37] [c36] [c35] [c34] [j19] [j18] [j16] [c33] [c31] [c30] [c28] [c27] [c26] [j14] [j13] [j12] [c25] [c24] [j11] [j10] [c20] [c19] [c18] [c17] [c16] [c15] [c13] [c12] [j6] [c9] [j2] [c7]
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