Shuo Jiang

765 citations
17 papers · 508 · h-index 10

Impact in

Papers in

Shuo Jiang

17 papers receiving 479 citations

Peers

Shuo Jiang
Comparison fields: 5 of 97
  • Artificial Intelligence 286
  • Atomic and Molecular Physics, and Optics 198
  • Management of Technology and Innovation 45
  • Acoustics and Ultrasonics 5
  • Industrial and Manufacturing Engineering 27
Replace John M. Borky with:
John M. Borky United States
Jingyan Qin China
Thomas Altenmüller Germany
Masayuki Murakami Japan
Subhashini Ganapathy United States
Henry Wong Canada
Anand Deshpande India
Dongyuan Li China
Jérôme Pfeiffer Germany
Mazani Manaf Malaysia
Shuo Jiang relative to John M. Borky United States John M. Borky's profile →
Citations per field
00.5×10×15.5×
John M. Borky · 1×
Citations per year

Countries citing papers authored by Shuo Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Shuo Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shuo Jiang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shuo Jiang Line = papers co-authored together Shuo Jiang links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2010232
2 202158
3 202248
4 202035
5 202131
6 201021
7 202216
8 201616
9 201113
10 202211
11 20207
12 20096
13 20244
14 20214
15 20164
16 20141
17 20251

About Shuo Jiang

Shuo Jiang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Management of Technology and Innovation and Mechanical Engineering, having authored 17 papers that have together received 508 indexed citations. Recurring topics across this work include Design Education and Practice (3 papers), Intellectual Property and Patents (2 papers), Data Management and Algorithms (2 papers), Manufacturing Process and Optimization (2 papers), Quantum Information and Cryptography (2 papers), Machine Learning in Materials Science (2 papers), Artificial Immune Systems Applications (1 paper) and Atomic and Subatomic Physics Research (1 paper). The work is most often cited by research in Artificial Intelligence (286 citations), Atomic and Molecular Physics, and Optics (198 citations), Management of Technology and Innovation (45 citations), Acoustics and Ultrasonics (5 citations) and Industrial and Manufacturing Engineering (27 citations). Shuo Jiang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Jianxi Luo, Jie Hu, Christopher L. Magee, Jian-Wei Pan, Kai Chen, Dong Yang, Hao Yin, Tao Yang, Xian‐Min Jin and Zhenhuan Yi. Their work appears in journals such as Cell Proliferation, Journal of Mechanical Design, Physical Review A, Human & Experimental Toxicology and Humanities and Social Sciences Communications.

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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