David Tsai

1.1k total citations · 1 hit paper
7 papers, 719 citations indexed

About

David Tsai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Ophthalmology. According to data from OpenAlex, David Tsai has authored 7 papers receiving a total of 719 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Ophthalmology. Recurrent topics in David Tsai's work include Advanced Image and Video Retrieval Techniques (4 papers), Image Retrieval and Classification Techniques (3 papers) and Advanced Vision and Imaging (3 papers). David Tsai is often cited by papers focused on Advanced Image and Video Retrieval Techniques (4 papers), Image Retrieval and Classification Techniques (3 papers) and Advanced Vision and Imaging (3 papers). David Tsai collaborates with scholars based in United States and Japan. David Tsai's co-authors include James M. Rehg, Matthew Flagg, Taeyoung Kim, Ahmad Humayun, Fuxin Li, Atsushi Nakazawa, Max Feinberg, Yushi Jing, Steve Macenski and Henry A. Rowley and has published in prestigious journals such as International Journal of Computer Vision, IEEE Transactions on Multimedia and International Journal of Advanced Robotic Systems.

In The Last Decade

David Tsai

7 papers receiving 694 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Video Segmentation by Tracking Many Figure-Ground Segments

2013 348 citations Fuxin Li, Taeyoung Kim et al. SMARTech Repository (Georgia Institute of Technology) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Tsai United States	7	690	56	47	37	27	7	719
Taeyoung Kim South Korea	5	369 0.5×	36 0.6×	18 0.4×	22 0.6×	12 0.4×	27	442
Yanjiao Shi China	11	246 0.4×	51 0.9×	24 0.5×	31 0.8×	50 1.9×	40	320
Guofeng Zhang China	11	277 0.4×	23 0.4×	93 2.0×	17 0.5×	29 1.1×	34	346
Lina Wei China	6	488 0.7×	47 0.8×	20 0.4×	85 2.3×	59 2.2×	17	544
Matthew Flagg United States	9	429 0.6×	22 0.4×	36 0.8×	15 0.4×	41 1.5×	11	471
Zijun Deng China	7	575 0.8×	42 0.8×	44 0.9×	56 1.5×	140 5.2×	11	638
Yongjiang Luo China	8	212 0.3×	26 0.5×	37 0.8×	10 0.3×	63 2.3×	14	292
Fushuo Huo China	8	257 0.4×	47 0.8×	47 1.0×	17 0.5×	74 2.7×	14	326
Xiaoming Huang China	9	240 0.3×	25 0.4×	13 0.3×	16 0.4×	52 1.9×	27	309
Shaojie Wang China	9	188 0.3×	43 0.8×	25 0.5×	14 0.4×	27 1.0×	30	295

Countries citing papers authored by David Tsai

Since Specialization

Citations

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

Fields of papers citing papers by David Tsai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Tsai

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Macenski, Steve, David Tsai, & Max Feinberg. (2020). Spatio-temporal voxel layer: A view on robot perception for the dynamic world. International Journal of Advanced Robotic Systems. 17(2). 4039277357–4039277357. 32 indexed citations

2.

Li, Fuxin, Taeyoung Kim, Ahmad Humayun, David Tsai, & James M. Rehg. (2013). Video Segmentation by Tracking Many Figure-Ground Segments. SMARTech Repository (Georgia Institute of Technology). 2192–2199. 348 indexed citations breakdown →

3.

Jing, Yushi, Michele Covell, David Tsai, & James M. Rehg. (2013). Learning Query-Specific Distance Functions for Large-Scale Web Image Search. IEEE Transactions on Multimedia. 15(8). 2022–2034. 13 indexed citations

4.

Jing, Yushi, et al.. (2012). Google image swirl. 539–540. 9 indexed citations

5.

Tsai, David, Yushi Jing, Yi Liu, et al.. (2011). Large-scale image annotation using visual synset. SMARTech Repository (Georgia Institute of Technology). 611–618. 38 indexed citations

6.

Tsai, David, Matthew Flagg, Atsushi Nakazawa, & James M. Rehg. (2011). Motion Coherent Tracking Using Multi-label MRF Optimization. International Journal of Computer Vision. 100(2). 190–202. 153 indexed citations

7.

Tsai, David, Matthew Flagg, & James M. Rehg. (2010). Motion Coherent Tracking with Multi-label MRF optimization. 56.1–56.11. 126 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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