Kexin Deng

31 total papers · 546 total citations
27 papers, 396 citations indexed

About

Kexin Deng is a scholar working on Condensed Matter Physics, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Kexin Deng has authored 27 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Condensed Matter Physics, 9 papers in Computer Vision and Pattern Recognition and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Kexin Deng's work include GaN-based semiconductor devices and materials (11 papers), Medical Image Segmentation Techniques (8 papers) and Ga2O3 and related materials (7 papers). Kexin Deng is often cited by papers focused on GaN-based semiconductor devices and materials (11 papers), Medical Image Segmentation Techniques (8 papers) and Ga2O3 and related materials (7 papers). Kexin Deng collaborates with scholars based in China, Hong Kong and United States. Kexin Deng's co-authors include Jie Tian, Xing Zhang, Xing Zhang, Xiuli Li, Jian Zheng, Jie Tian, Xinhua Wang, Min Xu, Sen Huang and Xinyu Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Carbon.

In The Last Decade

Kexin Deng

25 papers receiving 371 citations

Author Peers

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

Author Last Decade Papers Cites
Kexin Deng 199 154 87 85 68 27 396
Shaoguo Cui 131 0.7× 106 0.7× 34 0.4× 32 0.4× 54 0.8× 55 406
Don‐Gey Liu 82 0.4× 52 0.3× 10 0.1× 157 1.8× 89 1.3× 50 353
Jie Feng 70 0.4× 78 0.5× 17 0.2× 64 0.8× 52 0.8× 54 382
M. Beaulieu 155 0.8× 122 0.8× 21 0.2× 79 0.9× 19 0.3× 25 357
Shuwen Wei 51 0.3× 72 0.5× 7 0.1× 26 0.3× 222 3.3× 27 396
Cheng Wang 16 0.1× 18 0.1× 79 0.9× 225 2.6× 57 0.8× 33 444
Qi Chen 64 0.3× 21 0.1× 11 0.1× 135 1.6× 52 0.8× 27 361
D. Vijayalakshmi 161 0.8× 109 0.7× 2 0.0× 15 0.2× 53 0.8× 27 413
Tsung‐Han Tsai 51 0.3× 16 0.1× 42 0.5× 65 0.8× 197 2.9× 33 392
Savvas Damaskinos 79 0.4× 83 0.5× 5 0.1× 136 1.6× 120 1.8× 42 432

Countries citing papers authored by Kexin Deng

Since Specialization
Citations

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

Fields of papers citing papers by Kexin Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kexin Deng

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