Cong Hu

609 total citations
54 papers, 309 citations indexed

About

Cong Hu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Cong Hu has authored 54 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 19 papers in Artificial Intelligence and 8 papers in Media Technology. Recurrent topics in Cong Hu's work include Face and Expression Recognition (12 papers), Adversarial Robustness in Machine Learning (6 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Cong Hu is often cited by papers focused on Face and Expression Recognition (12 papers), Adversarial Robustness in Machine Learning (6 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Cong Hu collaborates with scholars based in China, United Kingdom and Australia. Cong Hu's co-authors include Xiao‐Jun Wu, Zhenqiu Shu, Josef Kittler, Quanjun Yin, Yue Hu, Rui Wang, Honghui Fan, Zhenhua Feng, Tianyang Xu and Feiyue Ye and has published in prestigious journals such as IEEE Access, Energy and Sensors.

In The Last Decade

Cong Hu

44 papers receiving 305 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 Hu China 11 181 129 31 28 27 54 309
Guangyao Chen China 5 138 0.8× 238 1.8× 25 0.8× 26 0.9× 26 1.0× 11 391
Delong Chen China 9 183 1.0× 114 0.9× 34 1.1× 18 0.6× 17 0.6× 26 520
Xian Wei China 7 176 1.0× 135 1.0× 17 0.5× 17 0.6× 16 0.6× 18 360
Jiangyan Dai China 10 236 1.3× 79 0.6× 18 0.6× 11 0.4× 17 0.6× 29 341
Shangdong Liu China 9 106 0.6× 77 0.6× 20 0.6× 16 0.6× 22 0.8× 67 286
Daniel Stanley Tan Taiwan 9 279 1.5× 170 1.3× 31 1.0× 15 0.5× 16 0.6× 37 460
Weijian Xu China 8 346 1.9× 144 1.1× 20 0.6× 19 0.7× 40 1.5× 28 481
Hongjun Li China 10 187 1.0× 104 0.8× 30 1.0× 17 0.6× 16 0.6× 66 364

Countries citing papers authored by Cong Hu

Since Specialization
Citations

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

Fields of papers citing papers by Cong Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cong Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Cong Hu. A scholar is included among the top collaborators of Cong Hu 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 Hu. Cong Hu 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.
Hu, Gang, Cong Hu, Chaofang Zhong, et al.. (2025). Elevational patterns of hydrological properties of forest litter layers in Daming Mountain, southern China. Global Ecology and Conservation. 58. e03510–e03510. 1 indexed citations
2.
Hou, Weigang, et al.. (2025). A Balanced Ternary 3-1 Encoder of Terahertz Metamaterials and Its Sensing Application. IEEE Transactions on Plasma Science. 53(10). 3194–3204.
3.
Chen, Siyu, Chaohao Xu, Cong Hu, et al.. (2025). Elevational Patterns and Drivers of Soil Total, Microbial, and Enzymatic C:N:P Stoichiometry in Karst Peak-Cluster Depressions in Southwestern China. Forests. 16(8). 1216–1216. 1 indexed citations
4.
5.
Zhang, Bei, Gang Hu, Chaohao Xu, et al.. (2024). Effects of Natural Vegetation Restoration on Soil Physicochemical Properties in Tropical Karst Areas, Southwestern China. Forests. 15(7). 1270–1270. 5 indexed citations
6.
Wang, Rui, et al.. (2024). SPD Manifold Deep Metric Learning for Image Set Classification. IEEE Transactions on Neural Networks and Learning Systems. 35(7). 8924–8938. 12 indexed citations
7.
Hu, Cong, et al.. (2024). Toward Transferable Attack via Adversarial Diffusion in Face Recognition. IEEE Transactions on Information Forensics and Security. 19. 5506–5519. 5 indexed citations
8.
Hu, Cong, et al.. (2024). DIRformer: A Novel Image Restoration Approach Based on U-shaped Transformer and Diffusion Models. ACM Transactions on Multimedia Computing Communications and Applications. 21(2). 1–23. 1 indexed citations
9.
Wu, Xiao‐Jun, et al.. (2024). Selective Depth Attention Networks for Adaptive Multiscale Feature Representation. IEEE Transactions on Artificial Intelligence. 5(10). 5064–5074.
10.
Hu, Gang, Xiaoxing Huang, Siyu Chen, et al.. (2024). Biotic and Abiotic Factors Affecting Soil C, N, P and Their Stoichiometries under Different Land-Use Types in a Karst Agricultural Watershed, China. Agriculture. 14(7). 1083–1083. 1 indexed citations
11.
Zhu, Jiao, et al.. (2023). Energy-based structural least squares twin support vector clustering. Engineering Applications of Artificial Intelligence. 128. 107467–107467.
12.
Hu, Gang, Cong Hu, Chaofang Zhong, Chaohao Xu, & Zhonghua Zhang. (2023). Soil Enzyme Activity and Stoichiometryin an Illicium verum Plantation Chronosequencein Southern China. Polish Journal of Environmental Studies. 1 indexed citations
13.
Zhao, Yong, et al.. (2023). Crowd Sensing Intelligence for ITS: Participants, Methods, and Stages. IEEE Transactions on Intelligent Vehicles. 8(6). 3541–3546. 14 indexed citations
14.
Hu, Cong, et al.. (2022). Substitute Meta-Learning for Black-Box Adversarial Attack. IEEE Signal Processing Letters. 29. 2472–2476. 8 indexed citations
15.
Wu, Xiao‐Jun, et al.. (2022). Face Recognition via Compact Second-Order Image Gradient Orientations. Mathematics. 10(15). 2587–2587. 2 indexed citations
16.
Hu, Cong, et al.. (2022). Enhancing the Transferability of Adversarial Examples with Feature Transformation. Mathematics. 10(16). 2976–2976. 1 indexed citations
17.
Hu, Cong, Zhenhua Feng, Xiao‐Jun Wu, & Josef Kittler. (2020). Dual Encoder-Decoder Based Generative Adversarial Networks for Disentangled Facial Representation Learning. IEEE Access. 8. 130159–130171. 11 indexed citations
18.
Hu, Cong, Xiao‐Jun Wu, & Zuoyong Li. (2020). Generating adversarial examples with elastic-net regularized boundary equilibrium generative adversarial network. Pattern Recognition Letters. 140. 281–287. 7 indexed citations
19.
Hu, Cong & Xiaoning Song. (2020). Graph Regularized Variational Ladder Networks for Semi-Supervised Learning. IEEE Access. 8. 206280–206288. 2 indexed citations
20.
Hu, Cong, et al.. (2018). Semi-Supervised Learning Based on GAN With Mean and Variance Feature Matching. IEEE Transactions on Cognitive and Developmental Systems. 11(4). 539–547. 16 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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