Ming‐Fong Tsai

42 total papers · 1.0k total citations
33 papers, 831 citations indexed

About

Ming‐Fong Tsai is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Biomedical Engineering. According to data from OpenAlex, Ming‐Fong Tsai has authored 33 papers receiving a total of 831 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Electrical and Electronic Engineering, 12 papers in Computer Networks and Communications and 8 papers in Biomedical Engineering. Recurrent topics in Ming‐Fong Tsai's work include Advanced Wireless Network Optimization (10 papers), Nanoplatforms for cancer theranostics (7 papers) and Wireless Networks and Protocols (6 papers). Ming‐Fong Tsai is often cited by papers focused on Advanced Wireless Network Optimization (10 papers), Nanoplatforms for cancer theranostics (7 papers) and Wireless Networks and Protocols (6 papers). Ming‐Fong Tsai collaborates with scholars based in Taiwan, Australia and United States. Ming‐Fong Tsai's co-authors include Chia‐Hao Su, Chen‐Sheng Yeh, Vijayakumar Shanmugam, Shih-Hui Gilbert Chang, Yu‐Sheng Cheng, Fong-Yu Cheng, Ce-Kuen Shieh, Li‐Fang Wang, Der‐Jiunn Deng and Yu‐Lun Lo and has published in prestigious journals such as ACS Nano, ACS Applied Materials & Interfaces and Nanoscale.

In The Last Decade

Ming‐Fong Tsai

33 papers receiving 814 citations

Author Peers

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

Author Last Decade Papers Cites
Ming‐Fong Tsai 445 283 210 159 148 33 831
Chong Wang 213 0.5× 227 0.8× 89 0.4× 64 0.4× 185 1.3× 68 798
Eun Hee Kim 255 0.6× 186 0.7× 183 0.9× 209 1.3× 278 1.9× 85 910
Hao Chen 128 0.3× 277 1.0× 102 0.5× 103 0.6× 330 2.2× 35 814
Ling Hu 268 0.6× 251 0.9× 46 0.2× 258 1.6× 69 0.5× 57 979
Chaoqun Li 424 1.0× 338 1.2× 71 0.3× 62 0.4× 159 1.1× 63 949
Pengyu Song 264 0.6× 226 0.8× 141 0.7× 45 0.3× 113 0.8× 39 863
Xueyun Li 201 0.5× 103 0.4× 127 0.6× 132 0.8× 152 1.0× 61 942
Jingju Liu 198 0.4× 173 0.6× 118 0.6× 25 0.2× 372 2.5× 59 880
Chun‐Yen Chen 286 0.6× 419 1.5× 125 0.6× 99 0.6× 283 1.9× 36 970
Lanlan Li 508 1.1× 113 0.4× 75 0.4× 97 0.6× 492 3.3× 28 1.0k

Countries citing papers authored by Ming‐Fong Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Fong Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Fong Tsai. 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 Ming‐Fong Tsai. The network helps show where Ming‐Fong Tsai may publish in the future.

Co-authorship network of co-authors of Ming‐Fong Tsai

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Fong Tsai. A scholar is included among the top collaborators of Ming‐Fong Tsai 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 Ming‐Fong Tsai. Ming‐Fong Tsai 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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