Chengliang Wang

2.5k total citations
156 papers, 1.8k citations indexed

About

Chengliang Wang is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chengliang Wang has authored 156 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Electrical and Electronic Engineering, 30 papers in Artificial Intelligence and 23 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chengliang Wang's work include GaN-based semiconductor devices and materials (10 papers), Gastrointestinal Bleeding Diagnosis and Treatment (9 papers) and Primate Behavior and Ecology (7 papers). Chengliang Wang is often cited by papers focused on GaN-based semiconductor devices and materials (10 papers), Gastrointestinal Bleeding Diagnosis and Treatment (9 papers) and Primate Behavior and Ecology (7 papers). Chengliang Wang collaborates with scholars based in China, Taiwan and United States. Chengliang Wang's co-authors include Y. Hwu, G. Margaritondo, Ivan M. Kempson, Chia‐Chi Chien, Chi-Jen Liu, Chung‐Shi Yang, Hsiang‐Hsin Chen, Sailing He, Yong S. Chu and Jyh-Rong Gong and has published in prestigious journals such as Applied Physics Letters, Langmuir and Applied Catalysis B: Environmental.

In The Last Decade

Chengliang Wang

140 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chengliang Wang China 25 369 352 302 239 211 156 1.8k
Nan Qin China 24 660 1.8× 799 2.3× 439 1.5× 210 0.9× 86 0.4× 74 2.1k
Jonghee Yoon South Korea 24 913 2.5× 212 0.6× 182 0.6× 140 0.6× 127 0.6× 56 2.2k
Dong‐Hoon Lee South Korea 30 695 1.9× 197 0.6× 1.1k 3.5× 115 0.5× 133 0.6× 229 3.5k
Chao Tian China 31 1.3k 3.5× 272 0.8× 152 0.5× 55 0.2× 277 1.3× 175 2.9k
Shigeo Sato Japan 19 159 0.4× 443 1.3× 449 1.5× 76 0.3× 120 0.6× 142 1.8k
Yichi Zhang China 15 308 0.8× 126 0.4× 415 1.4× 35 0.1× 102 0.5× 62 1.4k
Florian Schneider Germany 22 658 1.8× 468 1.3× 303 1.0× 135 0.6× 94 0.4× 92 2.0k
Hua Jin China 26 236 0.6× 290 0.8× 644 2.1× 26 0.1× 207 1.0× 183 2.5k
Xun Wang China 20 460 1.2× 281 0.8× 889 2.9× 52 0.2× 94 0.4× 98 2.8k
Zhicheng Zhang China 21 762 2.1× 118 0.3× 66 0.2× 115 0.5× 65 0.3× 150 2.2k

Countries citing papers authored by Chengliang Wang

Since Specialization
Citations

This map shows the geographic impact of Chengliang Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chengliang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chengliang Wang more than expected).

Fields of papers citing papers by Chengliang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chengliang Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chengliang Wang. The network helps show where Chengliang Wang may publish in the future.

Co-authorship network of co-authors of Chengliang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Chengliang Wang. A scholar is included among the top collaborators of Chengliang Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chengliang Wang. Chengliang Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Yi, Chengliang Wang, Xueqing Zhang, & Li Zeng. (2025). Towards Intelligent Emergency Management: A Scenario–Learning–Decision Framework Enabled by Large Language Models. Mathematics. 13(21). 3463–3463.
2.
Wang, Chengliang, et al.. (2024). WS-SSD: Achieving faster 3D object detection for autonomous driving via weighted point cloud sampling. Expert Systems with Applications. 249. 123805–123805. 12 indexed citations
3.
Jiang, Biao, Denghong Wang, Yu Liu, et al.. (2023). Genesis of the newly discovered Pb–Zn vein of the Sucha giant fluorite deposit in Inner Mongolia: Constraints from LA-ICP-MS trace element of pyrite and sphalerite. Applied Geochemistry. 158. 105801–105801. 5 indexed citations
4.
Wang, Chengliang, et al.. (2023). The classification of flash visual evoked potential based on deep learning. BMC Medical Informatics and Decision Making. 23(1). 13–13.
5.
Ma, Fei, et al.. (2023). Selective transfer subspace learning for small-footprint end-to-end cross-domain keyword spotting. Speech Communication. 156. 103019–103019.
6.
Wang, Chengliang, Muhammad Asghar Khan, Syed Agha Hassnain Mohsan, et al.. (2023). A UAV-Assisted Stackelberg Game Model for Securing loMT Healthcare Networks. Drones. 7(7). 415–415. 6 indexed citations
7.
Liu, Duo, Moming Duan, Li Li, et al.. (2023). FedMDS: An Efficient Model Discrepancy-Aware Semi-Asynchronous Clustered Federated Learning Framework. IEEE Transactions on Parallel and Distributed Systems. 34(3). 1007–1019. 34 indexed citations
8.
Wang, Chengliang, et al.. (2021). Deep learning for registration of region of interest in consecutive wireless capsule endoscopy frames. Computer Methods and Programs in Biomedicine. 208. 106189–106189. 6 indexed citations
9.
Ye, Chunxiao, et al.. (2019). Deep Convolutional Neural Networks for WCE Abnormality Detection: CNN Architecture, Region Proposal and Transfer Learning. IEEE Access. 7. 30017–30032. 38 indexed citations
10.
Wang, Chengliang, et al.. (2018). Network Phenotyping for Network Traffic Classification and Anomaly Detection. 1–6. 11 indexed citations
11.
Wei, Zhinong, et al.. (2015). Generator leading phase capability model based on relevance vector machine. 35(3). 146–151. 1 indexed citations
12.
Wang, Chengliang. (2012). Ground Penetrating Radar Nondestructive Testing of Karst Grouting Performance in High-speed Railway Subgrade Engineering. Journal of the China Railway Society. 3 indexed citations
13.
Wang, Chengliang. (2011). Suppressing Method of Infrared Stray Radiation in Space Optical System. 1 indexed citations
14.
Chen, Wen‐Chang, Sheng-Feng Lai, Chi-Jen Liu, et al.. (2009). Enhancement of irradiation effects on cancer cells by cross-linked dextran-coated iron oxide (CLIO) nanoparticles. Physics in Medicine and Biology. 55(2). 469–482. 39 indexed citations
15.
Wang, Chengliang. (2008). Ranking Algorithms of Originals Promotion for Search Engine. Jisuanji gongcheng. 1 indexed citations
16.
Wang, Chengliang. (2007). Multiresolution segmentation approach for tree image based on hidden Markov tree model. Jisuanji yingyong yanjiu. 1 indexed citations
17.
Wang, Chengliang, et al.. (2005). A Reasoning Algorithm with Unitizing Coefficient in Multi-value Causality Diagram. Jisuanji fangzhen. 2 indexed citations
18.
Wang, Chengliang, et al.. (2004). Algorithm to Transform Dynamic Causality Diagram Into Belief Network. Journal of Chongqing University. English Edition. 1 indexed citations
19.
Wang, Chengliang. (2004). A METHOD FOR GENERATING STANDARD GAUSSIAN WHITE NOISE SEQUENCES. Proceedings of the Csee. 2 indexed citations
20.
Yu, Xiaoping, et al.. (1993). Effects of Rice Resistant Varieties on Population Growth of Brown Planthopper and Whitebacked Planthopper. Zhongguo shuidao kexue. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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