Jun-Ting Hsieh

801 total citations
7 papers, 316 citations indexed

About

Jun-Ting Hsieh is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jun-Ting Hsieh has authored 7 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Computational Theory and Mathematics and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jun-Ting Hsieh's work include Machine Learning and Algorithms (2 papers), Human Pose and Action Recognition (2 papers) and Tensor decomposition and applications (1 paper). Jun-Ting Hsieh is often cited by papers focused on Machine Learning and Algorithms (2 papers), Human Pose and Action Recognition (2 papers) and Tensor decomposition and applications (1 paper). Jun-Ting Hsieh collaborates with scholars based in United States, Germany and Taiwan. Jun-Ting Hsieh's co-authors include Wen Chao, Jim J. Lin, Chun-Hung Chang, De-An Huang, Li Fei-Fei, Bingbin Liu, Juan Carlos Niebles, Shengjia Zhao, Stefano Ermon and Stephan Eismann and has published in prestigious journals such as Science, arXiv (Cornell University) and Neural Information Processing Systems.

In The Last Decade

Jun-Ting Hsieh

6 papers receiving 313 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jun-Ting Hsieh United States	4	190	111	83	37	30	7	316
Robert Karl United States	10	121 0.6×	59 0.5×	82 1.0×	8 0.2×	13 0.4×	16	392
Antoni Aguilar‐Mogas Spain	8	28 0.1×	72 0.6×	66 0.8×	4 0.1×	11 0.4×	11	289
Jeff Crouse Canada	11	161 0.8×	166 1.5×	20 0.2×	5 0.1×	9 0.3×	18	409
Karl‐Heinz Becker Germany	10	422 2.2×	56 0.5×	19 0.2×	5 0.1×	234 7.8×	17	501
Ryuichi Wada Japan	9	254 1.3×	173 1.6×	113 1.4×		41 1.4×	23	399
Aaron C. Noell United States	12	52 0.3×	115 1.0×	15 0.2×	3 0.1×	12 0.4×	41	367
Timothy Barnum United States	7	53 0.3×	74 0.7×	91 1.1×		14 0.5×	21	199
P. Pilleri France	15	202 1.1×	248 2.2×	113 1.4×	25 0.7×	1 0.0×	30	693
V.G. Koloshnikov Russia	11	49 0.3×	136 1.2×	63 0.8×	3 0.1×	34 1.1×	21	295

Countries citing papers authored by Jun-Ting Hsieh

Since Specialization

Citations

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

Fields of papers citing papers by Jun-Ting Hsieh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun-Ting Hsieh. 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 Jun-Ting Hsieh. The network helps show where Jun-Ting Hsieh may publish in the future.

Co-authorship network of co-authors of Jun-Ting Hsieh

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

All Works

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7 of 7 papers shown

1.

Hsieh, Jun-Ting, et al.. (2024). Explicit Two-Sided Unique-Neighbor Expanders. 788–799.

2.

Guruswami, Venkatesan, et al.. (2023). Efficient Algorithms for Semirandom Planted CSPs at the Refutation Threshold. 307–327. 3 indexed citations

3.

Hsieh, Jun-Ting, et al.. (2022). Polynomial-Time Power-Sum Decomposition of Polynomials. abs/1404.5236. 956–967. 1 indexed citations

4.

Hsieh, Jun-Ting, Shengjia Zhao, Stephan Eismann, Lucia Mirabella, & Stefano Ermon. (2019). Learning Neural PDE Solvers with Convergence Guarantees. arXiv (Cornell University). 20 indexed citations

5.

Hsieh, Jun-Ting, Bingbin Liu, De-An Huang, Li Fei-Fei, & Juan Carlos Niebles. (2018). Learning to Decompose and Disentangle Representations for Video Prediction. Neural Information Processing Systems. 31. 515–524. 39 indexed citations

6.

Luo, Zelun, et al.. (2017). Graph Distillation for Action Detection with Privileged Information.. arXiv (Cornell University). 2 indexed citations

7.

Chao, Wen, Jun-Ting Hsieh, Chun-Hung Chang, & Jim J. Lin. (2015). Direct kinetic measurement of the reaction of the simplest Criegee intermediate with water vapor. Science. 347(6223). 751–754. 251 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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