Hae Don Chon

10 total papers · 414 total citations
6 papers, 210 citations indexed

About

Hae Don Chon is a scholar working on Signal Processing, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hae Don Chon has authored 6 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Signal Processing, 3 papers in Computer Networks and Communications and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hae Don Chon's work include Data Management and Algorithms (4 papers), Algorithms and Data Compression (2 papers) and Opportunistic and Delay-Tolerant Networks (1 paper). Hae Don Chon is often cited by papers focused on Data Management and Algorithms (4 papers), Algorithms and Data Compression (2 papers) and Opportunistic and Delay-Tolerant Networks (1 paper). Hae Don Chon collaborates with scholars based in United States. Hae Don Chon's co-authors include Divyakant Agrawal, Amr El Abbadi and Heejae Jung and has published in prestigious journals such as Mobile Networks and Applications and Journal of Global Positioning Systems.

In The Last Decade

Hae Don Chon

6 papers receiving 183 citations

Author Peers

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

Author						Papers	Cites
Hae Don Chon	106	88	80	44	37	6	210
Philipp Bolliger	191 1.8×	59 0.7×	103 1.3×	11 0.3×	72 1.9×	5	241
Alan Bensky	180 1.7×	30 0.3×	81 1.0×	15 0.3×	50 1.4×	7	236
Syed A. Ahson	148 1.4×	15 0.2×	88 1.1×	145 3.3×	9 0.2×	9	281
Huabei Yin	30 0.3×	63 0.7×	73 0.9×	3 0.1×	25 0.7×	9	210
José María Falcó Boudet	157 1.5×	22 0.3×	57 0.7×	10 0.2×	58 1.6×	10	281
Wafa Njima	150 1.4×	65 0.7×	22 0.3×	7 0.2×	64 1.7×	12	199
Kangkang Jiang	123 1.2×	39 0.4×	59 0.7×	6 0.1×	27 0.7×	8	279
Tengfei Yin	21 0.2×	7 0.1×	45 0.6×	21 0.5×	34 0.9×	7	288
Sheng-Po Kuo	214 2.0×	65 0.7×	105 1.3×	4 0.1×	111 3.0×	13	248
Sheetal N. Ghorpade	123 1.2×	8 0.1×	95 1.2×	13 0.3×	26 0.7×	11	227

Countries citing papers authored by Hae Don Chon

Since Specialization

Citations

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

Fields of papers citing papers by Hae Don Chon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hae Don Chon. 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 Hae Don Chon. The network helps show where Hae Don Chon may publish in the future.

Co-authorship network of co-authors of Hae Don Chon

This figure shows the co-authorship network connecting the top 25 collaborators of Hae Don Chon. A scholar is included among the top collaborators of Hae Don Chon 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 Hae Don Chon. Hae Don Chon 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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