Jin Chen

116 papers receiving 2.4k citations

Jin Chen's Hit Papers

Can digital transformation overcome the enterprise innovation dilemma: Effect, mechanism and effective boundary 2023 · 254 citations
2540+1+2Years since publication50100150200250

Peers

Jin Chen
Comparison fields: 5 of 172
  • General Energy 48
  • Ceramics and Composites 132
  • Industrial and Manufacturing Engineering 197
  • Pollution 244
  • Economics and Econometrics 552
Replace Tiantian Feng with:
Tiantian Feng China
Steve Griffiths United Arab Emirates
Bao-Jun Tang China
Xueliang Yuan China
Tetsuo Tezuka Japan
Elsa Olivetti United States
Değer Saygin Netherlands
Paolo Bertoldi Italy
Wenbo Li China
Jin Chen relative to Tiantian Feng China Tiantian Feng's profile →
Citations per field
00.5×4.1×
Tiantian Feng · 1×
Citations per year

Countries citing papers authored by Jin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 126 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Can digital transformation overcome the enterprise innovation dilemma: Effect, mechanism and effective boundary
Hit paper breakdown →
2023254
2 2017165
3 201992
4 202192
5 201989
6 202183
7 202081
8 201880
9 201976
10 202152
11 201151
12 201948
13 201348
14 201946
15 201244
16 201343
17 201942
18 202242
19 202339
20 201038

About Jin Chen

Jin Chen is a scholar working on Economics and Econometrics, Mechanical Engineering, Biomedical Engineering, Pollution and Management Science and Operations Research, having authored 126 papers that have together received 2.5k indexed citations. Recurring topics across this work include Metal Extraction and Bioleaching (17 papers), Energy, Environment, Economic Growth (16 papers), Recycling and Waste Management Techniques (9 papers), Market Dynamics and Volatility (9 papers), Iron and Steelmaking Processes (8 papers), Advanced materials and composites (8 papers), Energy, Environment, and Transportation Policies (7 papers) and Innovation Policy and R&D (6 papers). The work is most often cited by research in General Energy (48 citations), Ceramics and Composites (132 citations), Industrial and Manufacturing Engineering (197 citations), Pollution (244 citations) and Economics and Econometrics (552 citations). Jin Chen has collaborated with scholars based in China, Finland and United States. Frequent co-authors include Guo Chen, Chengfeng Zhuo, Jinhui Peng, Wei Zhou, C. Srinivasakannan, Mamdouh Omran, Kangqiang Li, Roger Ruan, Lei Gao and Zhijie Lin. Their work appears in journals such as Journal of Alloys and Compounds, Ceramics International, Bioresource Technology, Technological Forecasting and Social Change and Journal of Cleaner Production.

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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