Tingwen Wang

16 total papers · 773 total citations
8 papers, 662 citations indexed

About

Tingwen Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Materials Chemistry. According to data from OpenAlex, Tingwen Wang has authored 8 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Materials Chemistry. Recurrent topics in Tingwen Wang's work include Medical Image Segmentation Techniques (2 papers), AI in cancer detection (2 papers) and Artificial Intelligence in Healthcare (1 paper). Tingwen Wang is often cited by papers focused on Medical Image Segmentation Techniques (2 papers), AI in cancer detection (2 papers) and Artificial Intelligence in Healthcare (1 paper). Tingwen Wang collaborates with scholars based in China and United States. Tingwen Wang's co-authors include Keyan Li, Sufeng An, Chunshan Song, Xinwen Guo, Shu Miao, Guanghui Zhang, Jeffrey T. Miller, Junhu Wang, Wenna Zhang and Yilong Yin and has published in prestigious journals such as ACS Nano, Applied Surface Science and RSC Advances.

In The Last Decade

Tingwen Wang

7 papers receiving 650 citations

Hit Papers

High-Density Ultra-small ... 2018 2026 2020 2023 2018 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Tingwen Wang 462 342 150 134 80 8 662
Xuan Li 495 1.1× 439 1.3× 17 0.1× 230 1.7× 32 0.4× 12 625
J LIU 275 0.6× 401 1.2× 113 0.8× 227 1.7× 39 0.5× 16 774
Haichao Liang 457 1.0× 253 0.7× 110 0.7× 184 1.4× 5 0.1× 21 706
Runjia Lin 323 0.7× 200 0.6× 35 0.2× 403 3.0× 4 0.1× 12 746
Zhongshan Yang 380 0.8× 246 0.7× 57 0.4× 295 2.2× 91 1.1× 17 638
Yue Zhang 191 0.4× 327 1.0× 61 0.4× 144 1.1× 14 0.2× 7 560
Tan Huang 374 0.8× 257 0.8× 23 0.2× 381 2.8× 18 0.2× 12 729
Yingzheng Zhu 275 0.6× 128 0.4× 118 0.8× 288 2.1× 16 0.2× 14 705
Sofia K. Fanourakis 177 0.4× 291 0.9× 92 0.6× 210 1.6× 10 0.1× 11 734
Yifan Pan 323 0.7× 195 0.6× 346 2.3× 133 1.0× 3 0.0× 15 730

Countries citing papers authored by Tingwen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Tingwen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tingwen Wang

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