Shuo Jiang

2.9k citations
137 papers · 2.1k · 1 hit paper · h-index 23

Impact in

Papers in

Shuo Jiang

128 papers receiving 2.1k citations

Shuo Jiang's Hit Papers

Does gender diversity matter for green innovation? 2019 · 250 citations
2500+2+4Years since publication50100150200250

Peers

Shuo Jiang
Comparison fields: 5 of 140
  • Human-Computer Interaction 455
  • Marketing 179
  • Cognitive Neuroscience 297
  • Biomedical Engineering 657
  • Strategy and Management 173
Replace Dapeng Yang with:
Dapeng Yang China
Hong Hong China
Jing Du United States
Mingming Li China
Peter Childs United Kingdom
Reuben F. Burch United States
Richard Crawford United States
Christophe Escriba France
Γεώργιος Λαμπρόπουλος Greece
Shuo Jiang relative to Dapeng Yang China Dapeng Yang's profile →
Citations per field
00.5×6.2×
Dapeng Yang · 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

20 of 20 papers shown

Showing the 20 most-cited of 137 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Does gender diversity matter for green innovation?
Hit paper breakdown →
2019250
2 2017194
3 2021174
4 2019129
5 202185
6 201983
7 202259
8 202252
9 201949
10 201945
11 201842
12 201332
13 201430
14 202030
15 200629
16 201128
17 202326
18 202226
19 201925
20 201324

About Shuo Jiang

Shuo Jiang is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Materials Chemistry, Control and Systems Engineering and Mechanical Engineering, having authored 137 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Fiber Optic Sensors (15 papers), Photonic and Optical Devices (14 papers), Muscle activation and electromyography studies (13 papers), Robot Manipulation and Learning (12 papers), Hand Gesture Recognition Systems (11 papers), Advanced Sensor and Energy Harvesting Materials (9 papers), Power Transformer Diagnostics and Insulation (9 papers) and High voltage insulation and dielectric phenomena (9 papers). The work is most often cited by research in Human-Computer Interaction (455 citations), Marketing (179 citations), Cognitive Neuroscience (297 citations), Biomedical Engineering (657 citations) and Strategy and Management (173 citations). Shuo Jiang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Peter B. Shull, HE Xiao-ping, Benny Lo, Peiqi Kang, Xinyu Song, Bo Lv, Xinjun Sheng, Haitao Wang, Weichao Guo and Chao Zhang. Their work appears in journals such as Construction and Building Materials, Sensors, Photonic Sensors, Journal of Applied Physics and IEEE Transactions on Neural Systems and Rehabilitation Engineering.

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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