Sangjin Hong

141 total papers · 1.2k total citations
92 papers, 931 citations indexed

About

Sangjin Hong is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Sangjin Hong has authored 92 papers receiving a total of 931 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Electrical and Electronic Engineering, 32 papers in Computer Networks and Communications and 24 papers in Artificial Intelligence. Recurrent topics in Sangjin Hong's work include Target Tracking and Data Fusion in Sensor Networks (19 papers), Video Surveillance and Tracking Methods (10 papers) and Advanced Optical Network Technologies (9 papers). Sangjin Hong is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (19 papers), Video Surveillance and Tracking Methods (10 papers) and Advanced Optical Network Technologies (9 papers). Sangjin Hong collaborates with scholars based in United States, South Korea and Canada. Sangjin Hong's co-authors include Petar M. Djurić, Miodrag Bolić, Yunyoung Nam, W.E. Stark, Jinseok Lee, Akshay Athalye, We‐Duke Cho, Kyung‐Tae Kim, Suhwan Kim and Marios C. Papaefthymiou and has published in prestigious journals such as Scientific Reports, IEEE Communications Magazine and IEEE Access.

In The Last Decade

Sangjin Hong

87 papers receiving 870 citations

Author Peers

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

Author Last Decade Papers Cites
Sangjin Hong 353 346 286 172 151 92 931
Ning Wang 657 1.9× 310 0.9× 326 1.1× 95 0.6× 283 1.9× 91 1.2k
L.B. White 275 0.8× 341 1.0× 201 0.7× 109 0.6× 207 1.4× 111 1.1k
Dragan Obradović 287 0.8× 270 0.8× 247 0.9× 98 0.6× 119 0.8× 85 961
Shaohua Hong 411 1.2× 327 0.9× 299 1.0× 190 1.1× 261 1.7× 91 1.1k
Rosario Schiano Lo Moriello 438 1.2× 135 0.4× 179 0.6× 103 0.6× 198 1.3× 111 1.1k
Jing Hu 372 1.1× 177 0.5× 224 0.8× 67 0.4× 287 1.9× 88 1.1k
Thyagaraju Damarla 341 1.0× 353 1.0× 146 0.5× 171 1.0× 56 0.4× 80 940
Gang Li 186 0.5× 158 0.5× 121 0.4× 132 0.8× 138 0.9× 119 1.1k
Lin Gao 243 0.7× 391 1.1× 255 0.9× 58 0.3× 240 1.6× 80 819
Xiaoxu Wang 170 0.5× 644 1.9× 256 0.9× 133 0.8× 255 1.7× 83 1.0k

Countries citing papers authored by Sangjin Hong

Since Specialization
Citations

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

Fields of papers citing papers by Sangjin Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sangjin Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Sangjin Hong. A scholar is included among the top collaborators of Sangjin Hong 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 Sangjin Hong. Sangjin Hong 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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