Cong Wang

1.6k total citations
93 papers, 1.0k citations indexed

About

Cong Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Cong Wang has authored 93 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Computer Vision and Pattern Recognition, 26 papers in Artificial Intelligence and 12 papers in Media Technology. Recurrent topics in Cong Wang's work include Image Enhancement Techniques (23 papers), Advanced Image Processing Techniques (16 papers) and Advanced Vision and Imaging (13 papers). Cong Wang is often cited by papers focused on Image Enhancement Techniques (23 papers), Advanced Image Processing Techniques (16 papers) and Advanced Vision and Imaging (13 papers). Cong Wang collaborates with scholars based in China, Hong Kong and United States. Cong Wang's co-authors include Zhixun Su, Junyang Chen, Yutong Wu, Yingjie Wei, Jinqiang Wang, Chengju Zhang, David J. Hill, Xiao-Ming Wu, Chunsheng Xin and Qiao Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and IEEE Transactions on Image Processing.

In The Last Decade

Cong Wang

82 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cong Wang China 18 432 225 149 144 112 93 1.0k
Hai Liu China 22 378 0.9× 180 0.8× 162 1.1× 197 1.4× 81 0.7× 75 1.5k
Xiaojuan Ban China 17 447 1.0× 315 1.4× 303 2.0× 123 0.9× 124 1.1× 142 1.3k
Osman N. Uçan Türkiye 16 321 0.7× 333 1.5× 72 0.5× 157 1.1× 30 0.3× 134 990
Jian Zhao China 15 362 0.8× 127 0.6× 60 0.4× 65 0.5× 56 0.5× 134 800
Bowen Zhang China 20 364 0.8× 608 2.7× 265 1.8× 171 1.2× 43 0.4× 137 1.5k
Tian Zhang China 17 285 0.7× 419 1.9× 81 0.5× 426 3.0× 162 1.4× 110 1.5k
Qian Sun China 18 277 0.6× 370 1.6× 45 0.3× 335 2.3× 97 0.9× 105 1.4k
Lei Cai China 19 471 1.1× 427 1.9× 128 0.9× 57 0.4× 62 0.6× 99 1.2k
Chenglong Bao China 18 1.3k 3.0× 527 2.3× 151 1.0× 157 1.1× 42 0.4× 52 2.0k

Countries citing papers authored by Cong Wang

Since Specialization
Citations

This map shows the geographic impact of Cong 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 Cong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Wang more than expected).

Fields of papers citing papers by Cong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cong 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 Cong Wang. The network helps show where Cong Wang may publish in the future.

Co-authorship network of co-authors of Cong Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Cong Wang. A scholar is included among the top collaborators of Cong 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 Cong Wang. Cong 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.
Liu, Yanjun, Cong Wang, Shixi Wen, et al.. (2025). GTIGNet: Global Topology Interaction Graphormer Network for 3D hand pose estimation. Neural Networks. 185. 107221–107221. 1 indexed citations
2.
Wang, Cong, et al.. (2025). Semantic-Guided Global–Local Collaborative Networks for Lightweight Image Super-Resolution. IEEE Transactions on Instrumentation and Measurement. 74. 1–14.
3.
Wang, Cong, et al.. (2025). Iterative Optimal Attention and Local Model for Single Image Rain Streak Removal. IEEE Transactions on Instrumentation and Measurement. 74. 1–15.
4.
Wang, Wei, et al.. (2025). Optimal Graph Learning-Based Label Propagation for Cross-Domain Image Classification. IEEE Transactions on Image Processing. 34. 1529–1544.
5.
Li, Hao, Wei Wang, Cong Wang, et al.. (2025). Phrase Grounding-Based Style Transfer for Single-Domain Generalized Object Detection. IEEE Transactions on Circuits and Systems for Video Technology. 36(1). 106–118.
6.
Wang, Wei, Hanyang Li, Cong Wang, et al.. (2025). Deep Label Propagation With Nuclear Norm Maximization for Visual Domain Adaptation. IEEE Transactions on Image Processing. 34. 1246–1258.
7.
Wang, Cong, Z. J. Chong, Hongli Zhang, Ping Ma, & Dong Wu. (2024). Color image encryption based on discrete memristor logistic map and DNA encoding. Integration. 96. 102138–102138. 17 indexed citations
8.
Wang, Cong, Lixin Wei, Hao Sun, & Ziyu Hu. (2024). Multi-guided population co-evolutionary algorithm based on multiple similarity decomposition for large-scale flexible job shop scheduling problem. Applied Soft Computing. 166. 112157–112157. 7 indexed citations
9.
Sun, Hao, Cong Wang, & Ziyu Hu. (2024). A dual strategy of adaptive knee-point guidance and niche sampling for non-cyclic dynamic multiobjective optimization problems. Engineering Applications of Artificial Intelligence. 133. 108144–108144. 3 indexed citations
10.
Wang, Cong, et al.. (2024). Dye-encapsulated metal–organic frameworks as highly sensitive fluorescent sensors for tetracycline antibiotics in water. Materials Letters. 363. 136243–136243. 7 indexed citations
11.
Wang, Cong, et al.. (2024). Dual-Guided Prototype Alignment Network for Few-Shot Medical Image Segmentation. IEEE Transactions on Instrumentation and Measurement. 73. 1–13. 6 indexed citations
12.
Fu, Bo, et al.. (2024). Uncertainty-Aware Sparse Transformer Network for Single-Image Deraindrop. IEEE Transactions on Instrumentation and Measurement. 73. 1–13. 5 indexed citations
13.
Wang, Wei, Mengzhu Wang, Xiao Dong, et al.. (2023). Class-specific and self-learning local manifold structure for domain adaptation. Pattern Recognition. 142. 109654–109654. 5 indexed citations
14.
Sun, Hao, Cong Wang, Xiaxia Li, & Ziyu Hu. (2023). A decision variable classification strategy based on the degree of environmental change for dynamic multiobjective optimization. European Journal of Operational Research. 313(1). 296–311. 6 indexed citations
15.
Dong, Yingchao, Hongli Zhang, Cong Wang, & Xiaojun Zhou. (2023). Robust optimal scheduling for integrated energy systems based on multi-objective confidence gap decision theory. Expert Systems with Applications. 228. 120304–120304. 13 indexed citations
16.
Wang, Cong, Hao Sun, Lixin Wei, & Ziyu Hu. (2023). A novel knee-guided algorithm based on frequency analysis for non-cyclic dynamic multiobjective optimization problems. Expert Systems with Applications. 237. 121538–121538. 4 indexed citations
17.
Chen, Junyang, Zhiguo Gong, Wei Wang, et al.. (2021). Adversarial Caching Training: Unsupervised Inductive Network Representation Learning on Large-Scale Graphs. IEEE Transactions on Neural Networks and Learning Systems. 33(12). 7079–7090. 25 indexed citations
18.
Chen, Junyang, Zhiguo Gong, Wei Wang, et al.. (2021). Self-Training Enhanced: Network Embedding and Overlapping Community Detection With Adversarial Learning. IEEE Transactions on Neural Networks and Learning Systems. 33(11). 6737–6748. 25 indexed citations
19.
Chen, Junyang, Zhiguo Gong, Wei Wang, et al.. (2020). TAM: Targeted Analysis Model With Reinforcement Learning on Short Texts. IEEE Transactions on Neural Networks and Learning Systems. 32(6). 2772–2781. 4 indexed citations
20.
Wang, Cong. (2008). Regional Agricultural Water Driver Factors and Contribution Ratio Analysis for Cangzhou District of Hebei Province. Jieshui guan'gai.

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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