default search action
Xiaohan Chen
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j19]Peng Ye, Yuanfang Chen, Sihang Ma, Feng Xue, Noël Crespi, Xiaohan Chen, Xing Fang:
Security in Transformer Visual Trackers: A Case Study on the Adversarial Robustness of Two Models. Sensors 24(14): 4761 (2024) - [j18]Tao Wen, Xiaohan Chen, Dingcheng Zhang, Clive Roberts, Baigen Cai:
A Sequential and Asynchronous Federated Learning Framework for Railway Point Machine Fault Diagnosis With Imperfect Data Transmission. IEEE Trans. Ind. Informatics 20(6): 8828-8837 (2024) - [j17]Xiaohan Zhang, Peng Liu, Bohao Lu, Yang Wang, Xiaohan Chen, Yanxin Zhang, Zhi Wang:
MTSFBet: A Hand-Gesture-Recognition-Based Identity Authentication Approach for Passive Keyless Entry Against Relay Attack. IEEE Trans. Mob. Comput. 23(2): 1902-1913 (2024) - [i26]Ziang Chen, Jialin Liu, Xiaohan Chen, Xinshang Wang, Wotao Yin:
Rethinking the Capacity of Graph Neural Networks for Branching Strategy. CoRR abs/2402.07099 (2024) - [i25]Xiaohan Chen, Jialin Liu, Wotao Yin:
Learning to optimize: A tutorial for continuous and mixed-integer optimization. CoRR abs/2405.15251 (2024) - [i24]Ziang Chen, Xiaohan Chen, Jialin Liu, Xinshang Wang, Wotao Yin:
Expressive Power of Graph Neural Networks for (Mixed-Integer) Quadratic Programs. CoRR abs/2406.05938 (2024) - 2023
- [j16]Gongchen Zhang, Chenyu Zhu, Xiaohan Chen, Jifang Yan, Dongyu Xue, Zixuan Wei, Guohui Chuai, Qi Liu:
Systematic Exploration of Optimized Base Editing gRNA Design and Pleiotropic Effects with BExplorer. Genom. Proteom. Bioinform. 21(6): 1237-1245 (2023) - [j15]Xiaohan Chen, Rui Yang, Yihao Xue, Chao Yang, Baoye Song, Maiying Zhong:
A novel momentum prototypical neural network to cross-domain fault diagnosis for rotating machinery subject to cold-start. Neurocomputing 555: 126656 (2023) - [j14]Yihui Li, Jiajun Wu, Xiaohan Chen, Yisheng Guan, Haifei Zhu:
TMG: A topology-based motion generalization method with spatial relationship preservation. Robotics Auton. Syst. 166: 104445 (2023) - [j13]Xiaohan Chen, Rui Yang, Yihao Xue, Mengjie Huang, Roberto Ferrero, Zidong Wang:
Deep Transfer Learning for Bearing Fault Diagnosis: A Systematic Review Since 2016. IEEE Trans. Instrum. Meas. 72: 1-21 (2023) - [j12]Yihao Xue, Rui Yang, Xiaohan Chen, Zhongbei Tian, Zidong Wang:
A Novel Local Binary Temporal Convolutional Neural Network for Bearing Fault Diagnosis. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - [j11]Qiming Wu, Xiaohan Chen, Yifan Jiang, Zhangyang Wang:
Chasing Better Deep Image Priors between Over- and Under-parameterization. Trans. Mach. Learn. Res. 2023 (2023) - [j10]Xiaohan Chen, Yang Zhao, Yue Wang, Pengfei Xu, Haoran You, Chaojian Li, Yonggan Fu, Yingyan Lin, Zhangyang Wang:
SmartDeal: Remodeling Deep Network Weights for Efficient Inference and Training. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7099-7113 (2023) - [c43]Howard Heaton, Xiaohan Chen, Zhangyang Wang, Wotao Yin:
Safeguarded Learned Convex Optimization. AAAI 2023: 7848-7855 - [c42]Ruisi Cai, Xiaohan Chen, Shiwei Liu, Jayanth Srinivasa, Myungjin Lee, Ramana Kompella, Zhangyang Wang:
Many-Task Federated Learning: A New Problem Setting and A Simple Baseline. CVPR Workshops 2023: 5037-5045 - [c41]Shiwei Liu, Tianlong Chen, Xiaohan Chen, Xuxi Chen, Qiao Xiao, Boqian Wu, Tommi Kärkkäinen, Mykola Pechenizkiy, Decebal Constantin Mocanu, Zhangyang Wang:
More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity. ICLR 2023 - [c40]Jialin Liu, Xiaohan Chen, Zhangyang Wang, Wotao Yin, HanQin Cai:
Towards Constituting Mathematical Structures for Learning to Optimize. ICML 2023: 21426-21449 - [c39]Senyu Mo, Yisheng Guan, Yihui Li, Xiaohan Chen:
A Framework for Online and Offline Programming of Multi-Robot Cooperative Motion Planning. ICMRE 2023: 72-77 - [c38]Qihang Liu, Yuhang Liu, Xiaohan Chen, Zixin Wang, Jiangchen Li:
A new dynamic planning for airport surface based on an improved artificial potential field algorithm in a connected aircraft environment. IoTAAI 2023: 476-482 - [c37]Lei Tan, Xiaohan Chen, Xiaoxi Hu, Tao Tang:
DMDSNet: A Computer Vision-based Dual Multi-task Model for Tunnel Bolt Detection and Corrosion Segmentation. ITSC 2023: 4827-4833 - [c36]Jiajun Wu, Yihui Li, Xiaohan Chen, Yisheng Guan, Weichun Xie, Junyu Xie:
Robot Orientation Learning Based on Interaction Primitives for Human-Robot Collaboration. RCAR 2023: 701-706 - [i23]Jialin Liu, Xiaohan Chen, Zhangyang Wang, Wotao Yin, HanQin Cai:
Towards Constituting Mathematical Structures for Learning to Optimize. CoRR abs/2305.18577 (2023) - [i22]Haoyu Wang, Jialin Liu, Xiaohan Chen, Xinshang Wang, Pan Li, Wotao Yin:
DIG-MILP: a Deep Instance Generator for Mixed-Integer Linear Programming with Feasibility Guarantee. CoRR abs/2310.13261 (2023) - 2022
- [j9]Xiaowen Wang, Hongming Zhu, Yizhi Jiang, Yulong Li, Chen Tang, Xiaohan Chen, Yunjie Li, Qi Liu, Qin Liu:
PRODeepSyn: predicting anticancer synergistic drug combinations by embedding cell lines with protein-protein interaction network. Briefings Bioinform. 23(2) (2022) - [j8]Zhiting Wei, Sheng Zhu, Xiaohan Chen, Chen-Yu Zhu, Bin Duan, Qi Liu:
DrSim: Similarity Learning for Transcriptional Phenotypic Drug Discovery. Genom. Proteom. Bioinform. 20(5): 1028-1036 (2022) - [j7]Tianlong Chen, Xiaohan Chen, Wuyang Chen, Howard Heaton, Jialin Liu, Zhangyang Wang, Wotao Yin:
Learning to Optimize: A Primer and A Benchmark. J. Mach. Learn. Res. 23: 189:1-189:59 (2022) - [c35]Sameer Bibikar, Haris Vikalo, Zhangyang Wang, Xiaohan Chen:
Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better. AAAI 2022: 6080-6088 - [c34]Allen-Jasmin Farcas, Xiaohan Chen, Zhangyang Wang, Radu Marculescu:
Model elasticity for hardware heterogeneity in federated learning systems. FedEdge@MobiCom 2022: 19-24 - [c33]Xiaohan Chen, Jason Zhang, Zhangyang Wang:
Peek-a-Boo: What (More) is Disguised in a Randomly Weighted Neural Network, and How to Find It Efficiently. ICLR 2022 - [c32]Shiwei Liu, Tianlong Chen, Zahra Atashgahi, Xiaohan Chen, Ghada Sokar, Elena Mocanu, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu:
Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity. ICLR 2022 - [c31]Shiwei Liu, Tianlong Chen, Xiaohan Chen, Li Shen, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy:
The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training. ICLR 2022 - [c30]Ruisi Cai, Zhenyu Zhang, Tianlong Chen, Xiaohan Chen, Zhangyang Wang:
Randomized Channel Shuffling: Minimal-Overhead Backdoor Attack Detection without Clean Datasets. NeurIPS 2022 - [c29]Xiaohan Chen, Yihui Li, Yisheng Guan, Wenjing Shi, Jiajun Wu:
Probabilistic Fusion in Task Space and Joint Space for Human-Robot Interaction. ROBIO 2022: 415-420 - [c28]Wenjing Shi, Yihui Li, Yisheng Guan, Xiaohan Chen, Shengtian Yang, Senyu Mo:
Optimized Fingering Planning for Automatic Piano Playing Using Dual-arm Robot System. ROBIO 2022: 933-938 - [i21]Shiwei Liu, Tianlong Chen, Xiaohan Chen, Li Shen, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy:
The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training. CoRR abs/2202.02643 (2022) - [i20]Shiwei Liu, Tianlong Chen, Xiaohan Chen, Xuxi Chen, Qiao Xiao, Boqian Wu, Mykola Pechenizkiy, Decebal Constantin Mocanu, Zhangyang Wang:
More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity. CoRR abs/2207.03620 (2022) - 2021
- [j6]Xiaohan Chen, Bei-ke Zhang, Dong Gao:
Bearing fault diagnosis base on multi-scale CNN and LSTM model. J. Intell. Manuf. 32(4): 971-987 (2021) - [c27]Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Zhangyang Wang, Jingjing Liu:
EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets. ACL/IJCNLP (1) 2021: 2195-2207 - [c26]Lida Zhang, Xiaohan Chen, Tianlong Chen, Zhangyang Wang, Bobak J. Mortazavi:
DynEHR: Dynamic adaptation of models with data heterogeneity in electronic health records. BHI 2021: 1-4 - [c25]Xiaohan Chen, Rui Yang, Huiqing Wen, Steven Guan:
Transfer Learning with Unsupervised Domain Adaptation Method for Bearing Fault Diagnosis. CAA SAFEPROCESS 2021: 1-6 - [c24]Tianjian Meng, Xiaohan Chen, Yifan Jiang, Zhangyang Wang:
A Design Space Study for LISTA and Beyond. ICLR 2021 - [c23]Jiayi Shen, Xiaohan Chen, Howard Heaton, Tianlong Chen, Jialin Liu, Wotao Yin, Zhangyang Wang:
Learning A Minimax Optimizer: A Pilot Study. ICLR 2021 - [c22]Shiwei Liu, Tianlong Chen, Xiaohan Chen, Zahra Atashgahi, Lu Yin, Huanyu Kou, Li Shen, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu:
Sparse Training via Boosting Pruning Plasticity with Neuroregeneration. NeurIPS 2021: 9908-9922 - [c21]Xiaohan Chen, Jialin Liu, Zhangyang Wang, Wotao Yin:
Hyperparameter Tuning is All You Need for LISTA. NeurIPS 2021: 11678-11689 - [c20]Xiaolong Ma, Geng Yuan, Xuan Shen, Tianlong Chen, Xuxi Chen, Xiaohan Chen, Ning Liu, Minghai Qin, Sijia Liu, Zhangyang Wang, Yanzhi Wang:
Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot? NeurIPS 2021: 12749-12760 - [c19]Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Jingjing Liu, Zhangyang Wang:
The Elastic Lottery Ticket Hypothesis. NeurIPS 2021: 26609-26621 - [i19]Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Zhangyang Wang, Jingjing Liu:
EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets. CoRR abs/2101.00063 (2021) - [i18]Xiaohan Chen, Yang Zhao, Yue Wang, Pengfei Xu, Haoran You, Chaojian Li, Yonggan Fu, Yingyan Lin, Zhangyang Wang:
SmartDeal: Re-Modeling Deep Network Weights for Efficient Inference and Training. CoRR abs/2101.01163 (2021) - [i17]Tianlong Chen, Xiaohan Chen, Wuyang Chen, Howard Heaton, Jialin Liu, Zhangyang Wang, Wotao Yin:
Learning to Optimize: A Primer and A Benchmark. CoRR abs/2103.12828 (2021) - [i16]Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Jingjing Liu, Zhangyang Wang:
The Elastic Lottery Ticket Hypothesis. CoRR abs/2103.16547 (2021) - [i15]Tianjian Meng, Xiaohan Chen, Yifan Jiang, Zhangyang Wang:
A Design Space Study for LISTA and Beyond. CoRR abs/2104.04110 (2021) - [i14]Shiwei Liu, Tianlong Chen, Xiaohan Chen, Zahra Atashgahi, Lu Yin, Huanyu Kou, Li Shen, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu:
Sparse Training via Boosting Pruning Plasticity with Neuroregeneration. CoRR abs/2106.10404 (2021) - [i13]Shiwei Liu, Tianlong Chen, Zahra Atashgahi, Xiaohan Chen, Ghada Sokar, Elena Mocanu, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu:
FreeTickets: Accurate, Robust and Efficient Deep Ensemble by Training with Dynamic Sparsity. CoRR abs/2106.14568 (2021) - [i12]Xiaolong Ma, Geng Yuan, Xuan Shen, Tianlong Chen, Xuxi Chen, Xiaohan Chen, Ning Liu, Minghai Qin, Sijia Liu, Zhangyang Wang, Yanzhi Wang:
Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot? CoRR abs/2107.00166 (2021) - [i11]Xiaohan Chen, Jialin Liu, Zhangyang Wang, Wotao Yin:
Hyperparameter Tuning is All You Need for LISTA. CoRR abs/2110.15900 (2021) - [i10]Sameer Bibikar, Haris Vikalo, Zhangyang Wang, Xiaohan Chen:
Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better. CoRR abs/2112.09824 (2021) - 2020
- [c18]Zepeng Huo, Arash Pakbin, Xiaohan Chen, Nathan C. Hurley, Ye Yuan, Xiaoning Qian, Zhangyang Wang, Shuai Huang, Bobak Mortazavi:
Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery. AISTATS 2020: 3894-3904 - [c17]Haoran You, Chaojian Li, Pengfei Xu, Yonggan Fu, Yue Wang, Xiaohan Chen, Richard G. Baraniuk, Zhangyang Wang, Yingyan Lin:
Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks. ICLR 2020 - [c16]Yang Zhao, Xiaohan Chen, Yue Wang, Chaojian Li, Haoran You, Yonggan Fu, Yuan Xie, Zhangyang Wang, Yingyan Lin:
SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation. ISCA 2020: 954-967 - [c15]Xiaohan Chen, Zhangyang Wang, Siyu Tang, Krikamol Muandet:
MATE: Plugging in Model Awareness to Task Embedding for Meta Learning. NeurIPS 2020 - [c14]Haoran You, Xiaohan Chen, Yongan Zhang, Chaojian Li, Sicheng Li, Zihao Liu, Zhangyang Wang, Yingyan Lin:
ShiftAddNet: A Hardware-Inspired Deep Network. NeurIPS 2020 - [i9]Zepeng Huo, Arash Pakbin, Xiaohan Chen, Nathan C. Hurley, Ye Yuan, Xiaoning Qian, Zhangyang Wang, Shuai Huang, Bobak Mortazavi:
Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery. CoRR abs/2003.01753 (2020) - [i8]Howard Heaton, Xiaohan Chen, Zhangyang Wang, Wotao Yin:
Safeguarded Learned Convex Optimization. CoRR abs/2003.01880 (2020) - [i7]Yang Zhao, Xiaohan Chen, Yue Wang, Chaojian Li, Haoran You, Yonggan Fu, Yuan Xie, Zhangyang Wang, Yingyan Lin:
SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation. CoRR abs/2005.03403 (2020) - [i6]Haoran You, Xiaohan Chen, Yongan Zhang, Chaojian Li, Sicheng Li, Zihao Liu, Zhangyang Wang, Yingyan Lin:
ShiftAddNet: A Hardware-Inspired Deep Network. CoRR abs/2010.12785 (2020)
2010 – 2019
- 2019
- [c13]Jialin Liu, Xiaohan Chen, Zhangyang Wang, Wotao Yin:
ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA. ICLR (Poster) 2019 - [c12]Ernest K. Ryu, Jialin Liu, Sicheng Wang, Xiaohan Chen, Zhangyang Wang, Wotao Yin:
Plug-and-Play Methods Provably Converge with Properly Trained Denoisers. ICML 2019: 5546-5557 - [c11]Yue Wang, Ziyu Jiang, Xiaohan Chen, Pengfei Xu, Yang Zhao, Yingyan Lin, Zhangyang Wang:
E2-Train: Training State-of-the-art CNNs with Over 80% Energy Savings. NeurIPS 2019: 5139-5151 - [i5]Ernest K. Ryu, Jialin Liu, Sicheng Wang, Xiaohan Chen, Zhangyang Wang, Wotao Yin:
Plug-and-Play Methods Provably Converge with Properly Trained Denoisers. CoRR abs/1905.05406 (2019) - [i4]Haoran You, Chaojian Li, Pengfei Xu, Yonggan Fu, Yue Wang, Xiaohan Chen, Yingyan Lin, Zhangyang Wang, Richard G. Baraniuk:
Drawing early-bird tickets: Towards more efficient training of deep networks. CoRR abs/1909.11957 (2019) - [i3]Yue Wang, Ziyu Jiang, Xiaohan Chen, Pengfei Xu, Yang Zhao, Yingyan Lin, Zhangyang Wang:
E2-Train: Energy-Efficient Deep Network Training with Data-, Model-, and Algorithm-Level Saving. CoRR abs/1910.13349 (2019) - 2018
- [c10]Xiaohan Chen:
Unsupervised Speech Denoising Method Based on Deep Neural Network. ISCID (2) 2018: 254-258 - [c9]Nitin Bansal, Xiaohan Chen, Zhangyang Wang:
Can We Gain More from Orthogonality Regularizations in Training Deep Networks? NeurIPS 2018: 4266-4276 - [c8]Xiaohan Chen, Jialin Liu, Zhangyang Wang, Wotao Yin:
Theoretical Linear Convergence of Unfolded ISTA and Its Practical Weights and Thresholds. NeurIPS 2018: 9079-9089 - [i2]Xiaohan Chen, Jialin Liu, Zhangyang Wang, Wotao Yin:
Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds. CoRR abs/1808.10038 (2018) - [i1]Nitin Bansal, Xiaohan Chen, Zhangyang Wang:
Can We Gain More from Orthogonality Regularizations in Training Deep CNNs? CoRR abs/1810.09102 (2018) - 2015
- [c7]Xiaohan Chen, Gim Song Soh, Shaohui Foong, Kevin Otto:
Pose estimation of robotic end-effectors under low speed motion using EKF with inertial and SE(3) measurements. AIM 2015: 1585-1590 - 2014
- [j5]Xiaohan Chen, Yingmin Jia, Fumitoshi Matsuno:
Tracking Control for Differential-Drive Mobile Robots With Diamond-Shaped Input Constraints. IEEE Trans. Control. Syst. Technol. 22(5): 1999-2006 (2014) - [c6]Xiaohan Chen, Yingmin Jia, Fumitoshi Matsuno:
Tracking control of nonholonomic mobile robots with velocity and acceleration constraints. ACC 2014: 880-884 - 2011
- [c5]Xiaohan Chen, Yingmin Jia, Junping Du, Fashan Yu:
Column formation control of multi-robot systems with input constraints. CDC/ECC 2011: 2732-2737 - 2010
- [j4]Chen Wang, Yibo Zhang, Xiaohan Chen, Zhiyu Liu, Lei Shi, Guang Chen, F. Qiu, Chun Ying, Wei Lu:
A behavior-based SMS antispam system. IBM J. Res. Dev. 54(6): 3 (2010) - [j3]Xiaohan Chen, Natalia A. Schmid:
Automatic target recognition performance losses in the presence of atmospheric and camera effects. J. Electronic Imaging 19(2): 023016 (2010)
2000 – 2009
- 2009
- [j2]Xiaohan Chen, Natalia A. Schmid:
Empirical Capacity of a Recognition Channel for Single- and Multipose Object Recognition Under the Constraint of PCA Encoding. IEEE Trans. Image Process. 18(3): 636-651 (2009) - 2008
- [c4]Xiaohan Chen, Natalia A. Schmid:
On empirical capacity, random coding bound, and probability of outage of an object recognition system under constraint of PCA-encoding. CISS 2008: 967-971 - 2007
- [j1]Jinyu Zuo, Natalia A. Schmid, Xiaohan Chen:
On Generation and Analysis of Synthetic Iris Images. IEEE Trans. Inf. Forensics Secur. 2(1): 77-90 (2007) - [c3]Xiaohan Chen, Natalia A. Schmid:
On Capacity of Automatic Target Recognition Systems Under the Constraint of PCA-Encoding. CISS 2007: 530-534 - 2006
- [c2]Jinyu Zuo, Natalia A. Schmid, Xiaohan Chen:
On Performance Comparison of Real and Synthetic Iris Images. ICIP 2006: 305-308 - [c1]Xiaohan Chen, Natalia A. Schmid:
A Joint Shape-Intensity Estimation in Computerized Tomography in the Presence of High-Density Objects. ICIP 2006: 901-904
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-09-13 00:41 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint