Jiangcheng Li

755 citations
74 papers · 555 · h-index 13

Impact in

Papers in

    • Complex Systems and Time Series Analysis 33
    • Market Dynamics and Volatility 14
    • Financial Risk and Volatility Modeling 20
    • Stochastic processes and financial applications 12

Jiangcheng Li

68 papers receiving 533 citations

Peers

Jiangcheng Li
Comparison fields: 5 of 73
  • Finance 123
  • Statistical and Nonlinear Physics 120
  • Economics and Econometrics 217
  • Management Science and Operations Research 85
  • Catalysis 38
Replace Xin-Guo Yan with:
Xin-Guo Yan China
James G. Stevens United Kingdom
Degang Wang China
Xinsheng Lu China
Melanie Schienle Germany
Russell K. Standish Australia
Wenjuan Chen China
Xue Gong China
Carlos Ibarra-Valdez Mexico
Jiangcheng Li relative to Xin-Guo Yan China Xin-Guo Yan's profile →
Citations per field
00.5×7.6×
Xin-Guo Yan · 1×
Citations per year

Countries citing papers authored by Jiangcheng Li

Since Specialization
Citations

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

Fields of papers citing papers by Jiangcheng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201550
2 201426
3 201325
4 202425
5 201225
6 201125
7 201422
8 201322
9 202019
10 202019
11 201218
12 201817
13 201512
14 201811
15 201811
16 201911
17 202210
18 201510
19 20229
20 20199

About Jiangcheng Li

Jiangcheng Li is a scholar working on Economics and Econometrics, Finance, Statistical and Nonlinear Physics, Materials Chemistry and Computer Networks and Communications, having authored 74 papers that have together received 555 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (33 papers), Financial Risk and Volatility Modeling (20 papers), Market Dynamics and Volatility (14 papers), Stochastic processes and financial applications (12 papers), stochastic dynamics and bifurcation (12 papers), Nonlinear Dynamics and Pattern Formation (9 papers), Ecosystem dynamics and resilience (8 papers) and Stock Market Forecasting Methods (7 papers). The work is most often cited by research in Finance (123 citations), Statistical and Nonlinear Physics (120 citations), Economics and Econometrics (217 citations), Management Science and Operations Research (85 citations) and Catalysis (38 citations). Jiangcheng Li has collaborated with scholars based in China, United Kingdom and Mongolia. Frequent co-authors include Dong-Cheng Mei, Baojian Shen, Qiaoxia Guo, Chao Long, Niansheng Tang, Yandan Wang, Bing Feng, Shenyong Ren, Xionghou Gao and Honghai Liu. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Chaos Solitons & Fractals, Physics Letters A, Fuel Processing Technology and International Journal of Hydrogen Energy.

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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