Kevin Tang

3.0k total citations
54 papers, 1.5k citations indexed

About

Kevin Tang is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kevin Tang has authored 54 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 22 papers in Experimental and Cognitive Psychology and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kevin Tang's work include Phonetics and Phonology Research (19 papers), Speech Recognition and Synthesis (11 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Kevin Tang is often cited by papers focused on Phonetics and Phonology Research (19 papers), Speech Recognition and Synthesis (11 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Kevin Tang collaborates with scholars based in United States, Germany and United Kingdom. Kevin Tang's co-authors include Li Fei-Fei, Daphne Koller, Saikat Guha, Paul Francis, Li-Jia Li, Tsuhan Chen, Noah Snavely, Ruogu Fang, Vignesh Ramanathan and Shuicheng Yan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Kevin Tang

44 papers receiving 1.5k citations

Peers

Kevin Tang
Comparison fields: 5 of 107
  • Computer Vision and Pattern Recognition 966
  • Artificial Intelligence 580
  • Sociology and Political Science 156
  • Signal Processing 134
  • Experimental and Cognitive Psychology 125
Replace Hayley Hung with:
Hayley Hung Netherlands
Stylianos Asteriadis Netherlands
Jihun Hamm United States
Alejandro Jaimes United States
Alessandro Perina Italy
Robert LiKamWa United States
Azam Bastanfard Iran
Héctor P. Martínez Malta
Isabel Trancoso Portugal
Luis Villaseñor-Pineda Mexico
Hayley Hung Netherlands View profile →
Citations per field, relative to Kevin Tang
Kevin Tang · 1×
Citations per year, relative to Kevin Tang
Kevin Tang · 1×

Countries citing papers authored by Kevin Tang

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Tang

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 0
3 3
4 0
5 1
6 2
7 1
8 4
9 5
10 0
11 0
12 0
13 3
14 1
15 19
16 2
17 8
18
Intervention for word-finding difficulty for children starting school who have diverse language backgrounds
1
19
Shifting Weights: Adapting Object Detectors from Image to Video
121
20 251

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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