Congying Han

799 total citations
62 papers, 428 citations indexed

About

Congying Han is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Congying Han has authored 62 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 20 papers in Artificial Intelligence and 13 papers in Computational Mechanics. Recurrent topics in Congying Han's work include Sparse and Compressive Sensing Techniques (9 papers), Advanced Optimization Algorithms Research (9 papers) and Stochastic Gradient Optimization Techniques (7 papers). Congying Han is often cited by papers focused on Sparse and Compressive Sensing Techniques (9 papers), Advanced Optimization Algorithms Research (9 papers) and Stochastic Gradient Optimization Techniques (7 papers). Congying Han collaborates with scholars based in China, United Kingdom and United States. Congying Han's co-authors include Tiande Guo, Guoping He, Jian Guo, Bonan Li, Ruxin Wang, Qin Jin, Xuecheng Nie, Liang Fang, Yongli Wang and Xiaohuang Cao and has published in prestigious journals such as Langmuir, Expert Systems with Applications and IEEE Access.

In The Last Decade

Congying Han

54 papers receiving 405 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Congying Han China 13 143 75 74 70 53 62 428
David Ricardo Cruz Mexico 12 66 0.5× 140 1.9× 199 2.7× 22 0.3× 35 0.7× 17 475
Xin Zuo China 12 158 1.1× 87 1.2× 108 1.5× 13 0.2× 69 1.3× 70 557
Pitikhate Sooraksa Thailand 14 124 0.9× 94 1.3× 129 1.7× 80 1.1× 39 0.7× 84 500
Zhou Jun China 9 58 0.4× 377 5.0× 216 2.9× 13 0.2× 59 1.1× 55 632
Junzhi Li China 11 128 0.9× 344 4.6× 75 1.0× 24 0.3× 55 1.0× 23 577
Junan Yang China 13 77 0.5× 286 3.8× 45 0.6× 79 1.1× 73 1.4× 90 536
Chalie Charoenlarpnopparut Thailand 10 53 0.4× 62 0.8× 51 0.7× 80 1.1× 5 0.1× 65 347
Peng Luo China 10 96 0.7× 47 0.6× 53 0.7× 7 0.1× 15 0.3× 25 472

Countries citing papers authored by Congying Han

Since Specialization
Citations

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

Fields of papers citing papers by Congying Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Congying Han

This figure shows the co-authorship network connecting the top 25 collaborators of Congying Han. A scholar is included among the top collaborators of Congying Han 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 Congying Han. Congying Han 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.
Han, Congying, et al.. (2025). An inertial stochastic Bregman generalized alternating direction method of multipliers for nonconvex and nonsmooth optimization. Expert Systems with Applications. 276. 126939–126939. 2 indexed citations
2.
Han, Congying, et al.. (2025). A Bregman-Type Improved ADMM Method with Extrapolation and Its Linear Variant for Nonconvex and Nonsmooth Optimization. Bulletin of the Iranian Mathematical Society.. 51(4).
3.
4.
Han, Congying, et al.. (2024). Momentum-based variance-reduced stochastic Bregman proximal gradient methods for nonconvex nonsmooth optimization. Expert Systems with Applications. 266. 125960–125960. 1 indexed citations
5.
Chen, Wenqi, Siwen Wang, Yanming Liu, et al.. (2024). Identification of novel variations in three cases with rare inherited neuromuscular disorder. Experimental and Therapeutic Medicine. 27(6). 270–270. 1 indexed citations
6.
Han, Congying, et al.. (2024). Cassava Starch-Based Multifunctional Coating Incorporated with Zinc Oxide Nanoparticle to Enhance the Shelf Life of Passion Fruit. Journal of Food Processing and Preservation. 2024. 1–14. 8 indexed citations
7.
Zhang, Zicheng, et al.. (2024). Learning Dynamic Tetrahedra for High-Quality Talking Head Synthesis. 5209–5219. 1 indexed citations
8.
Han, Congying, et al.. (2024). NeuroPrim: An attention-based model for solving NP-hard spanning tree problems. Science China Mathematics. 67(6). 1359–1376. 2 indexed citations
9.
Han, Congying, et al.. (2023). Generating linear programming instances with controllable rank and condition number. Computers & Operations Research. 162. 106471–106471. 2 indexed citations
10.
Guo, Tiande, et al.. (2023). Stochastic linearized generalized alternating direction method of multipliers: Expected convergence rates and large deviation properties. Mathematical Structures in Computer Science. 34(3). 162–179. 1 indexed citations
11.
Guo, Tiande, et al.. (2023). An Overview of Stochastic Quasi-Newton Methods for Large-Scale Machine Learning. Journal of the Operations Research Society of China. 11(2). 245–275. 7 indexed citations
12.
Cao, Xiaohuang, Md. Nahidul Islam, Dandan Lu, et al.. (2023). Effects of barley seedling powder on rheological properties of dough and quality of steamed bread. Food Science and Technology International. 31(2). 155–166. 10 indexed citations
13.
Han, Congying, et al.. (2023). Learning graph representation by aggregating subgraphs via mutual information maximization. Neurocomputing. 548. 126392–126392. 6 indexed citations
14.
Guo, Tiande, et al.. (2023). A learnable sampling method for scalable graph neural networks. Neural Networks. 162. 412–424. 10 indexed citations
15.
Li, Bonan, Pengfei Xiong, Congying Han, & Tiande Guo. (2022). Shrinking Temporal Attention in Transformers for Video Action Recognition. Proceedings of the AAAI Conference on Artificial Intelligence. 36(2). 1263–1271. 7 indexed citations
16.
Han, Congying, et al.. (2019). A novel method based on deep learning for aligned fingerprints matching. Applied Intelligence. 50(2). 397–416. 24 indexed citations
17.
Guo, Tiande, Mingqiang Li, & Congying Han. (2018). Fusion of front-end and back-end learning based on layer-by-layer data re-representation. Scientia Sinica Informationis. 49(6). 739–759. 4 indexed citations
18.
Han, Congying, et al.. (2015). Energy compensation‐based approach for solving the HJI equation in the nonlinearH∞synthesis. International Journal of Robust and Nonlinear Control. 26(12). 2608–2622. 4 indexed citations
19.
Han, Congying, et al.. (2014). Energy Losses and Voltage Stability Study in Distribution Network with Distributed Generation. Journal of Applied Mathematics. 2014. 1–7. 5 indexed citations
20.
Han, Congying, et al.. (2008). MINING RECENT FREQUENT ITEMSETS IN SLIDING WINDOWS OVER DATA STREAMS. Computing and Informatics / Computers and Artificial Intelligence. 27. 315–339. 2 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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