Shuo Yan

44 papers receiving 566 citations

Peers

Shuo Yan
Comparison fields: 5 of 100
  • Acoustics and Ultrasonics 20
  • Atomic and Molecular Physics, and Optics 265
  • Neurology 84
  • Accounting 50
  • Electrical and Electronic Engineering 170
Replace Seok Jin Choi with:
Seok Jin Choi South Korea
Yijing Wu United States
Zhihua Ding China
Shin‐ichi Fukuda Japan
Hong Bae Kim South Korea
Chun Zhang China
D.B. Montgomery United States
J. Ramiro Spain
Juan Yu China
Kaushik Sridhar United States
Shuo Yan relative to Seok Jin Choi South Korea Seok Jin Choi's profile →
Citations per field
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Seok Jin Choi · 1×
Citations per year

Countries citing papers authored by Shuo Yan

Since Specialization
Citations

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

Fields of papers citing papers by Shuo Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shuo Yan, 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 Yan Line = papers co-authored together Shuo Yan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019195
2 201636
3 201832
4 202128
5 201828
6 201622
7 202121
8 201920
9 202219
10 201815
11 201615
12 202312
13 202211
14 202110
15 20209
16 20229
17 20159
18 20239
19 20229
20 20229

About Shuo Yan

Shuo Yan is a scholar working on Electrical and Electronic Engineering, Strategy and Management, Accounting, Pulmonary and Respiratory Medicine and Atomic and Molecular Physics, and Optics, having authored 48 papers that have together received 598 indexed citations. Recurring topics across this work include Corporate Finance and Governance (9 papers), Corporate Social Responsibility Reporting (8 papers), Advanced Fiber Laser Technologies (7 papers), Cerebrovascular and Carotid Artery Diseases (7 papers), Photonic Crystal and Fiber Optics (6 papers), Intracranial Aneurysms: Treatment and Complications (5 papers), Solid State Laser Technologies (4 papers) and Auditing, Earnings Management, Governance (4 papers). The work is most often cited by research in Acoustics and Ultrasonics (20 citations), Atomic and Molecular Physics, and Optics (265 citations), Neurology (84 citations), Accounting (50 citations) and Electrical and Electronic Engineering (170 citations). Shuo Yan has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Haigang Liu, Zhanwei Liu, Xianfeng Chen, Chun Fang, Jichong Xu, Yulong Tang, Jianqiu Xu, Hongjie Han, Hao Feng and Hua-Qiao Tan. Their work appears in journals such as International Review of Financial Analysis, Optics Express, Emerging Markets Finance and Trade, Laser Physics and Journal of Behavioral and Experimental Finance.

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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