Shuhan Qi

536 total citations
49 papers, 295 citations indexed

About

Shuhan Qi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Shuhan Qi has authored 49 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Vision and Pattern Recognition, 25 papers in Artificial Intelligence and 5 papers in Information Systems. Recurrent topics in Shuhan Qi's work include Advanced Image and Video Retrieval Techniques (18 papers), Multimodal Machine Learning Applications (11 papers) and Reinforcement Learning in Robotics (8 papers). Shuhan Qi is often cited by papers focused on Advanced Image and Video Retrieval Techniques (18 papers), Multimodal Machine Learning Applications (11 papers) and Reinforcement Learning in Robotics (8 papers). Shuhan Qi collaborates with scholars based in China, Singapore and United Kingdom. Shuhan Qi's co-authors include Qing Liao, Xuan Wang, Zoe L. Jiang, Liang Ding, Xixi Huang, Y. Ding, Xuan Wang, Jian Guan, Jiajia Zhang and Fanglin Wang and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Neural Networks and Learning Systems and Neurocomputing.

In The Last Decade

Shuhan Qi

41 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shuhan Qi China	10	153	145	29	25	17	49	295
Pengcheng Wang China	11	125 0.8×	121 0.8×	24 0.8×	16 0.6×	20 1.2×	37	294
Meiyu Liang China	11	215 1.4×	198 1.4×	58 2.0×	12 0.5×	16 0.9×	63	384
Chuanyan Hao China	9	74 0.5×	122 0.8×	31 1.1×	66 2.6×	5 0.3×	28	279
Michael Eckmann United States	8	66 0.4×	236 1.6×	23 0.8×	14 0.6×	15 0.9×	12	328
Faris Kateb Saudi Arabia	11	99 0.6×	60 0.4×	31 1.1×	33 1.3×	7 0.4×	35	303
А.В. Куракин United States	6	284 1.9×	151 1.0×	14 0.5×	10 0.4×	9 0.5×	8	361
Kevin Dela Rosa United States	6	242 1.6×	179 1.2×	71 2.4×	15 0.6×	16 0.9×	9	368
Lingyun Song China	10	159 1.0×	120 0.8×	28 1.0×	9 0.4×	4 0.2×	25	257
Mingi Ji South Korea	7	189 1.2×	188 1.3×	49 1.7×	6 0.2×	5 0.3×	11	334

Countries citing papers authored by Shuhan Qi

Since Specialization

Citations

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

Fields of papers citing papers by Shuhan Qi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuhan Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Shuhan Qi. A scholar is included among the top collaborators of Shuhan Qi 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 Shuhan Qi. Shuhan Qi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Xu, Yingying, et al.. (2025). Solving equilibrium for adversarial team games utilizing fictitious team play with refined team plans. Expert Systems with Applications. 298. 129496–129496.

Qi, Shuhan, et al.. (2025). Breaking data barriers in medical diagnosis with MSDGD framework based on Gaussian Diffusion Generation. Information Processing & Management. 62(4). 104130–104130. 2 indexed citations

Wang, Xuan, et al.. (2024). Fairness mechanism and stackelberg strategy for multi-agent systems: A case study of legends of the three kingdoms. Alexandria Engineering Journal. 104. 490–503.

Liu, Yang, et al.. (2024). APCSMA: Adaptive Personalized Client-Selection and Model-Aggregation Algorithm for Federated Learning in Edge Computing Scenarios. Entropy. 26(8). 712–712. 1 indexed citations

Wang, Qiang, et al.. (2024). Scheduling Deep Learning Jobs in Multi-Tenant GPU Clusters via Wise Resource Sharing. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–10.

Wang, Xuan, et al.. (2023). D2CFR: Minimize Counterfactual Regret With Deep Dueling Neural Network. IEEE Transactions on Neural Networks and Learning Systems. 35(12). 18343–18356.

Ding, Liang, Shuhan Qi, Meng Fang, et al.. (2023). Dynamic Contrastive Distillation for Image-Text Retrieval. IEEE Transactions on Multimedia. 25. 8383–8395. 23 indexed citations

Ding, Liang, et al.. (2023). Parameter-Efficient and Student-Friendly Knowledge Distillation. IEEE Transactions on Multimedia. 26. 4230–4241. 33 indexed citations

Qi, Shuhan, et al.. (2023). Recommender Systems: Collaborative Filtering and Content-based Recommender System. Applied and Computational Engineering. 2(1). 937–942.

10.

Gao, Cuiyun, Shuhan Qi, Yang Liu, et al.. (2022). Listening to Users' Voice: Automatic Summarization of Helpful App Reviews. IEEE Transactions on Reliability. 72(4). 1619–1631. 9 indexed citations

11.

Qi, Shuhan, et al.. (2022). Cascaded Attention: Adaptive and Gated Graph Attention Network for Multiagent Reinforcement Learning. IEEE Transactions on Neural Networks and Learning Systems. 35(3). 3769–3779. 9 indexed citations

12.

Qin, Song, Lei Zhang, Shuhan Qi, et al.. (2022). EFDO: Solving Extensive-Form Games Based On Double Oracle. 382–387.

13.

Zhang, Jiajia, et al.. (2021). RLCFR: Minimize counterfactual regret by deep reinforcement learning. Expert Systems with Applications. 187. 115953–115953. 5 indexed citations

14.

Cao, Rui, et al.. (2021). AIBPO: Combine the Intrinsic Reward and Auxiliary Task for 3D Strategy Game. Complexity. 2021(1). 1 indexed citations

15.

Huang, Xixi, Y. Ding, Zoe L. Jiang, et al.. (2020). DP-FL: a novel differentially private federated learning framework for the unbalanced data. World Wide Web. 23(4). 2529–2545. 52 indexed citations

16.

Li, Yi-Fan, Xuan Wang, Shuhan Qi, et al.. (2019). Self-supervised learning-based weight adaptive hashing for fast cross-modal retrieval. Signal Image and Video Processing. 15(4). 673–680. 7 indexed citations

17.

Huang, Xixi, Jian Guan, Bin Zhang, et al.. (2019). Differentially Private Convolutional Neural Networks with Adaptive Gradient Descent. 642–648. 5 indexed citations

18.

Guan, Jian, Yi-Fan Li, Jianguo Sun, et al.. (2018). Graph-based supervised discrete image hashing. Journal of Visual Communication and Image Representation. 58. 675–687. 4 indexed citations

19.

Wang, Fanglin, et al.. (2014). Logo information recognition in large-scale social media data. Multimedia Systems. 22(1). 63–73. 28 indexed citations

20.

Li, Xinxin, Xuan Wang, & Shuhan Qi. (2011). Coreference Resolution with Loose Transitivity Constraints. 9(94). 107–111. 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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