Ruohan Zhan

446 total citations
10 papers, 242 citations indexed

About

Ruohan Zhan is a scholar working on Information Systems, Management Science and Operations Research and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ruohan Zhan has authored 10 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Information Systems, 4 papers in Management Science and Operations Research and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ruohan Zhan's work include Recommender Systems and Techniques (4 papers), Advanced Bandit Algorithms Research (4 papers) and ECG Monitoring and Analysis (1 paper). Ruohan Zhan is often cited by papers focused on Recommender Systems and Techniques (4 papers), Advanced Bandit Algorithms Research (4 papers) and ECG Monitoring and Analysis (1 paper). Ruohan Zhan collaborates with scholars based in United States, China and Hong Kong. Ruohan Zhan's co-authors include Huiwen Chang, Xiyang Luo, Feng Yang, Peyman Milanfar, Bin Dong, Kun Gai, Peng Jiang, Guanyu Mu, Changhua Pei and Qiang Su and has published in prestigious journals such as Nature Communications, SIAM Journal on Imaging Sciences and Rare & Special e-Zone (The Hong Kong University of Science and Technology).

In The Last Decade

Ruohan Zhan

9 papers receiving 236 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ruohan Zhan United States	7	161	52	45	30	25	10	242
Niannan Xue United Kingdom	8	195 1.2×	54 1.0×	47 1.0×	28 0.9×	9 0.4×	10	271
Huafeng Liu China	8	84 0.5×	102 2.0×	154 3.4×	19 0.6×	10 0.4×	28	242
Sundararajan Sellamanickam United States	7	126 0.8×	52 1.0×	206 4.6×	15 0.5×	11 0.4×	19	296
Yaochen Zhu China	8	70 0.4×	85 1.6×	131 2.9×	15 0.5×	6 0.2×	37	237
Cong Quan China	4	58 0.4×	222 4.3×	205 4.6×	31 1.0×	25 1.0×	6	293
Devendra Singh Sachan United States	7	118 0.7×	32 0.6×	289 6.4×	11 0.4×	6 0.2×	11	331
Jiang Du China	8	108 0.7×	79 1.5×	38 0.8×	14 0.5×	5 0.2×	30	263
Yichong Xu United States	9	202 1.3×	20 0.4×	294 6.5×	14 0.5×	7 0.3×	20	396
Md Abul Bashar Australia	7	58 0.4×	29 0.6×	112 2.5×	8 0.3×	3 0.1×	23	203
Yueqi Xie Hong Kong	8	159 1.0×	109 2.1×	127 2.8×	24 0.8×	5 0.2×	14	303

Countries citing papers authored by Ruohan Zhan

Since Specialization

Citations

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

Fields of papers citing papers by Ruohan Zhan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruohan Zhan

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

All Works

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10 of 10 papers shown

Zhan, Ruohan, et al.. (2026). A liquid metal dynamic wetting strategy for spatiotemporal monitoring of hand movements. Nature Communications. 17(1). 98–98.

Zhan, Ruohan, et al.. (2024). Estimating Treatment Effects under Recommender Interference: A Structured Neural Networks Approach. 1204–1204. 1 indexed citations

Cui, Zheng, et al.. (2023). Fragility Index: A New Approach for Binary Classification. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2918–2929. 1 indexed citations

Cai, Qingpeng, et al.. (2023). Two-Stage Constrained Actor-Critic for Short Video Recommendation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 865–875. 22 indexed citations

Zhan, Ruohan, Changhua Pei, Qiang Su, et al.. (2022). Deconfounding Duration Bias in Watch-time Prediction for Video Recommendation. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 4472–4481. 38 indexed citations

Zhan, Ruohan, Konstantina Christakopoulou, Martin Mladenov, et al.. (2021). Towards Content Provider Aware Recommender Systems. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3872–3883. 11 indexed citations

Zhan, Ruohan, et al.. (2021). Off-Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2125–2135. 9 indexed citations

Luo, Xiyang, Ruohan Zhan, Huiwen Chang, Feng Yang, & Peyman Milanfar. (2020). Distortion Agnostic Deep Watermarking. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 13545–13554. 128 indexed citations

Zhan, Ruohan, et al.. (2017). Machine learning for cardiac ultrasound time series data. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10137. 101372D–101372D. 6 indexed citations

10.

Zhan, Ruohan & Bin Dong. (2016). CT Image Reconstruction by Spatial-Radon Domain Data-Driven Tight Frame Regularization. SIAM Journal on Imaging Sciences. 9(3). 1063–1083. 26 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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