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ORCIDLong Wang 0011
Person information
- affiliation: Tianjin University of Science and Technology, China
Other persons with the same name
- Long Wang — disambiguation page
- Long Wang 0001
![[0000-0001-5600-8157]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-5600-8157")
— Peking University, Center for Systems and Control, Beijing, China (and 1 more) - Long Wang 0002 — University of Potsdam, Germany
- Long Wang 0003 — IBM, Thomas J. Watson Research Center, Yorktown Heights, NY, USA (and 1 more)
- Long Wang 0004 — China Earthquake Administration, Beijing, China
- Long Wang 0005 — Insitute of High Performance Computing, Singapore
- Long Wang 0006 — Hebei University, Baoding, China
- Long Wang 0007 — Vanderbilt University, Nashville, TN, USA
- Long Wang 0008 — CAS, Computer Network Information Center, Beijing, China
- Long Wang 0009 — Harbin Institute of Technology, Heilongjiang, China
- Long Wang 0010 — Karlsruhe Institute of Technology, Germany (and 1 more)
- Long Wang 0012 — Huazhong University of Science and Technology, Wuhan, China
- Long Wang 0013 — Anhui University of Science and Technology, China
- Long Wang 0014 — RIKEN Institute, Kobe, Japan (and 2 more)
- Long Wang 0015 — University of Science and Technology, Beijing (and 2 more)
- Long Wang 0016 — Johns Hopkins University, Department of Applied Mathematics and Statistics, Baltimore, MD, USA
- Long Wang 0017 — University of Electronic Science and Technology of China, School of Resources and Environment, Chengdu, China
- Long Wang 0018 — Shandong University of Finance and Economics, Jinan, China
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Journal Articles
- 2017
[j1]Xiaozhong Li, Yong Li, Ying Liu, Long Wang:
Genetic Expression Level Prediction Based on Extended Fuzzy Petri Nets. Int. J. Pattern Recognit. Artif. Intell. 31(10): 1750036:1-1750036:20 (2017)
Conference and Workshop Papers
- 2015
- [c2]Xiaozhong Li, Yong Li, Ying Liu, Long Wang:
Confidence value prediction of DNA sequencing with fuzzy colored Petri net model. FSKD 2015: 415-420 - [c1]Xiaozhong Li, Long Wang, Ying Liu, Yong Li:
Modeling the Krebs Cycle based on hybrid Petri net. ICNC 2015: 1183-1187
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