Xiaoling Jin

232 papers receiving 4.6k citations

Peers

Xiaoling Jin
Comparison fields: 5 of 191
  • Information Systems and Management 683
  • Geriatrics and Gerontology 137
  • Statistics, Probability and Uncertainty 313
  • Communication 321
  • Modeling and Simulation 168
Replace Yi Zhang with:
Yi Zhang China
Jaime A. Teixeira da Silva Japan
Chun‐yang Zhang China
Rajarshi Guha United States
Rainer Schmidt Germany
Young‐Jin Lee South Korea
Ronald N. Kostoff United States
May D. Wang United States
Jing Li China
Sushil K. Sharma United States
Xiaoling Jin relative to Yi Zhang China Yi Zhang's profile →
Citations per field
00.5×10×15.2×
Yi Zhang · 1×
Citations per year

Countries citing papers authored by Xiaoling Jin

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoling Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 244 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012219
2 2014192
3 2010159
4 2020157
5 2010145
6 2009133
7 2009131
8 2008124
9 2010116
10 201488
11 201778
12 201473
13 200972
14 201871
15 202070
16 201668
17 200967
18 201166
19 200963
20 200761

About Xiaoling Jin

Xiaoling Jin is a scholar working on Civil and Structural Engineering, Organic Chemistry, Statistics, Probability and Uncertainty, Molecular Biology and Sociology and Political Science, having authored 244 papers that have together received 4.8k indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (31 papers), Digital Marketing and Social Media (23 papers), Technology Adoption and User Behaviour (20 papers), Vibration Control and Rheological Fluids (18 papers), Structural Health Monitoring Techniques (17 papers), Knowledge Management and Sharing (14 papers), stochastic dynamics and bifurcation (13 papers) and Smart Grid and Power Systems (13 papers). The work is most often cited by research in Information Systems and Management (683 citations), Geriatrics and Gerontology (137 citations), Statistics, Probability and Uncertainty (313 citations), Communication (321 citations) and Modeling and Simulation (168 citations). Xiaoling Jin has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Zhongyun Zhou, Zhilong Huang, Yulin Fang, Bo Zhou, Matthew Lee, Doug Vogel, Fang Dai, Christy M.K. Cheung, Z.L. Huang and Huaping Chen. Their work appears in journals such as International Journal of Non-Linear Mechanics, Journal of the Association for Information Systems, Nonlinear Dynamics, HortScience and Chemistry - A European Journal.

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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