David S. Kong

33 total papers · 702 total citations
19 papers, 523 citations indexed

About

David S. Kong is a scholar working on Biomedical Engineering, Human-Computer Interaction and Computer Vision and Pattern Recognition. According to data from OpenAlex, David S. Kong has authored 19 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Biomedical Engineering, 4 papers in Human-Computer Interaction and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in David S. Kong's work include Microfluidic and Capillary Electrophoresis Applications (5 papers), Innovative Microfluidic and Catalytic Techniques Innovation (5 papers) and Innovative Human-Technology Interaction (4 papers). David S. Kong is often cited by papers focused on Microfluidic and Capillary Electrophoresis Applications (5 papers), Innovative Microfluidic and Catalytic Techniques Innovation (5 papers) and Innovative Human-Technology Interaction (4 papers). David S. Kong collaborates with scholars based in United States, Australia and United Kingdom. David S. Kong's co-authors include Peter A. Carr, Shashi K. Murthy, William G. Patrick, Neri Oxman, Steven J. Keating, Todd Thorsen, Pat Pataranutaporn, Scott Wick, Misha Sra and Pattie Maes and has published in prestigious journals such as Nature Biotechnology, PLoS ONE and Trends in biotechnology.

In The Last Decade

David S. Kong

19 papers receiving 507 citations

Author Peers

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

Author						Papers	Cites
David S. Kong	340	102	100	56	45	19	523
Prativa Das	408 1.2×	80 0.8×	46 0.5×	12 0.2×	85 1.9×	21	554
Shiya Li	264 0.8×	62 0.6×	135 1.4×	10 0.2×	138 3.1×	29	597
Weiqiu Jin	213 0.6×	66 0.6×	61 0.6×	13 0.2×	6 0.1×	28	507
Ki‐Young Lee	222 0.7×	178 1.7×	51 0.5×	17 0.3×	6 0.1×	33	503
Zhichang Du	368 1.1×	48 0.5×	43 0.4×	4 0.1×	37 0.8×	27	458
Wesley Wang	157 0.5×	113 1.1×	90 0.9×	12 0.2×	65 1.4×	16	471
Bader AlQattan	256 0.8×	206 2.0×	32 0.3×	24 0.4×	52 1.2×	18	617
Wenyu Wang	336 1.0×	94 0.9×	45 0.5×	13 0.2×	41 0.9×	33	513
Tae Young Choi	160 0.5×	138 1.4×	132 1.3×	8 0.1×	6 0.1×	26	513
Guoyi Liu	267 0.8×	67 0.7×	112 1.1×	61 1.1×	6 0.1×	32	579

Countries citing papers authored by David S. Kong

Since Specialization

Citations

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

Fields of papers citing papers by David S. Kong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David S. Kong

This figure shows the co-authorship network connecting the top 25 collaborators of David S. Kong. A scholar is included among the top collaborators of David S. Kong 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 S. Kong. David S. Kong 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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