Hung-Chin Jang

82 total papers · 611 total citations
55 papers, 406 citations indexed

About

Hung-Chin Jang is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Hung-Chin Jang has authored 55 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Networks and Communications, 27 papers in Electrical and Electronic Engineering and 7 papers in Artificial Intelligence. Recurrent topics in Hung-Chin Jang's work include Opportunistic and Delay-Tolerant Networks (13 papers), Mobile Ad Hoc Networks (10 papers) and Advanced Wireless Network Optimization (10 papers). Hung-Chin Jang is often cited by papers focused on Opportunistic and Delay-Tolerant Networks (13 papers), Mobile Ad Hoc Networks (10 papers) and Advanced Wireless Network Optimization (10 papers). Hung-Chin Jang collaborates with scholars based in Taiwan, United States and Austria. Hung-Chin Jang's co-authors include Yao‐Nan Lien, Tzu-Chieh Tsai, Jeffrey J. P. Tsai, Thomas Weigert, Han‐Yi Lin, Yichen Huang, Junxiang Huang, Tsung-Yen Tsai, Po‐Yen Huang and Bingyan Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Software Engineering and Telecommunication Systems.

In The Last Decade

Hung-Chin Jang

50 papers receiving 376 citations

Author Peers

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

Author Last Decade Papers Cites
Hung-Chin Jang 266 160 61 41 27 55 406
Tadanori Mizuno 351 1.3× 216 1.4× 48 0.8× 24 0.6× 10 0.4× 108 470
Mariam Kiran 180 0.7× 94 0.6× 88 1.4× 58 1.4× 11 0.4× 47 396
F. Halsall 276 1.0× 145 0.9× 67 1.1× 63 1.5× 13 0.5× 47 444
Maghsoud Abbaspour 370 1.4× 158 1.0× 80 1.3× 55 1.3× 14 0.5× 63 441
Weifeng Sun 240 0.9× 170 1.1× 67 1.1× 96 2.3× 6 0.2× 72 435
Longjun Huang 234 0.9× 76 0.5× 141 2.3× 116 2.8× 16 0.6× 41 482
Alauddin Al-Omary 209 0.8× 117 0.7× 61 1.0× 73 1.8× 6 0.2× 55 461
Vincenzo Rana 214 0.8× 183 1.1× 42 0.7× 38 0.9× 8 0.3× 61 467
Ing-Yi Chen 239 0.9× 207 1.3× 60 1.0× 81 2.0× 7 0.3× 41 423
Emil J. Khatib 165 0.6× 230 1.4× 75 1.2× 45 1.1× 6 0.2× 35 426

Countries citing papers authored by Hung-Chin Jang

Since Specialization
Citations

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

Fields of papers citing papers by Hung-Chin Jang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hung-Chin Jang. 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 Hung-Chin Jang. The network helps show where Hung-Chin Jang may publish in the future.

Co-authorship network of co-authors of Hung-Chin Jang

This figure shows the co-authorship network connecting the top 25 collaborators of Hung-Chin Jang. A scholar is included among the top collaborators of Hung-Chin Jang 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 Hung-Chin Jang. Hung-Chin Jang 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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