Zhi‐Ri Tang

83 total papers · 1.5k total citations
62 papers, 1.1k citations indexed

About

Zhi‐Ri Tang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Zhi‐Ri Tang has authored 62 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 12 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Zhi‐Ri Tang's work include Sarcoma Diagnosis and Treatment (9 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Advanced Memory and Neural Computing (7 papers). Zhi‐Ri Tang is often cited by papers focused on Sarcoma Diagnosis and Treatment (9 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Advanced Memory and Neural Computing (7 papers). Zhi‐Ri Tang collaborates with scholars based in China, Hong Kong and Macao. Zhi‐Ri Tang's co-authors include Edmond Q. Wu, Limin Zhu, Ruihan Hu, Zheng Fang, Wenle Li, Ren He, Shengtao Dong, Haosheng Wang, Sheng Chang and Chengliang Yin and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Access and Frontiers in Immunology.

In The Last Decade

Zhi‐Ri Tang

59 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Zhi‐Ri Tang 202 149 148 142 139 62 1.1k
Francesco Rundo 113 0.6× 157 1.1× 102 0.7× 57 0.4× 110 0.8× 84 997
Hongguang Pan 171 0.8× 153 1.0× 77 0.5× 39 0.3× 129 0.9× 119 1.2k
Bin Huang 134 0.7× 178 1.2× 58 0.4× 24 0.2× 90 0.6× 87 1.2k
Esko Alasaarela 127 0.6× 174 1.2× 73 0.5× 25 0.2× 89 0.6× 68 1.0k
Domenico Buongiorno 164 0.8× 316 2.1× 91 0.6× 32 0.2× 171 1.2× 46 1.1k
Guanjin Wang 644 3.2× 191 1.3× 104 0.7× 54 0.4× 220 1.6× 65 1.4k
Edmond Q. Wu 198 1.0× 204 1.4× 42 0.3× 23 0.2× 178 1.3× 81 1.0k
Xiaojun Bi 239 1.2× 316 2.1× 162 1.1× 75 0.5× 159 1.1× 116 1.1k
Petros Karvelis 170 0.8× 131 0.9× 51 0.3× 61 0.4× 48 0.3× 76 913
Hüseyin Çakmak 139 0.7× 205 1.4× 26 0.2× 61 0.4× 98 0.7× 104 1.2k

Countries citing papers authored by Zhi‐Ri Tang

Since Specialization
Citations

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

Fields of papers citing papers by Zhi‐Ri Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhi‐Ri Tang. 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 Zhi‐Ri Tang. The network helps show where Zhi‐Ri Tang may publish in the future.

Co-authorship network of co-authors of Zhi‐Ri Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhi‐Ri Tang. A scholar is included among the top collaborators of Zhi‐Ri Tang 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 Zhi‐Ri Tang. Zhi‐Ri Tang 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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