Huan Tan

50 total papers · 759 total citations
36 papers, 519 citations indexed

About

Huan Tan is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Huan Tan has authored 36 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Control and Systems Engineering, 16 papers in Computer Vision and Pattern Recognition and 11 papers in Biomedical Engineering. Recurrent topics in Huan Tan's work include Robot Manipulation and Learning (19 papers), Robotic Path Planning Algorithms (10 papers) and Reinforcement Learning in Robotics (9 papers). Huan Tan is often cited by papers focused on Robot Manipulation and Learning (19 papers), Robotic Path Planning Algorithms (10 papers) and Reinforcement Learning in Robotics (9 papers). Huan Tan collaborates with scholars based in United States, China and Australia. Huan Tan's co-authors include B. J. Noye, R. B. Potts, Dejun Guo, Yang Shen, Houzhu Ding, Adam King, Fei Long, Luis A. Mateos, K. Kawamura and Bavani Kannan and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Journal of Dental Research.

In The Last Decade

Huan Tan

33 papers receiving 494 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Huan Tan	171	141	119	89	78	36	519
Jing Yu	326 1.9×	36 0.3×	64 0.5×	19 0.2×	38 0.5×	36	591
Hammad Mazhar	217 1.3×	135 1.0×	105 0.9×	18 0.2×	38 0.5×	27	499
Alberto Olivares	156 0.9×	19 0.1×	106 0.9×	24 0.3×	29 0.4×	45	579
Ata Ur Rehman	77 0.5×	72 0.5×	135 1.1×	22 0.2×	83 1.1×	39	573
Usman Malik	131 0.8×	17 0.1×	286 2.4×	31 0.3×	22 0.3×	60	486
João Maurício Rosário	244 1.4×	13 0.1×	44 0.4×	40 0.4×	48 0.6×	46	460
Kristo Karjust	48 0.3×	38 0.3×	25 0.2×	107 1.2×	31 0.4×	44	565
Tianhao Liu	88 0.5×	23 0.2×	67 0.6×	29 0.3×	43 0.6×	41	549
Xuejun Zhang	89 0.5×	46 0.3×	70 0.6×	12 0.1×	13 0.2×	32	492
Ethan Stump	173 1.0×	24 0.2×	196 1.6×	6 0.1×	82 1.1×	32	604

Countries citing papers authored by Huan Tan

Since Specialization

Citations

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

Fields of papers citing papers by Huan Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huan Tan

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

All Works

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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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