Zhongfeng Qin

2.6k citations
81 papers · 1.9k indexed · 1 hit paper · h-index 26

Zhongfeng Qin

76 papers receiving 1.8k citations

Hit Papers

Asymmetric volatility spillovers among new energy, ESG, g...39202420262025102030

Peers

Zhongfeng Qin
Comparison fields: 5 of 84
  • Statistics and Probability 692
  • Management Science and Operations Research 989
  • Finance 246
  • General Energy 18
  • Management Information Systems 154
Replace Mukesh Kumar Mehlawat with:
Mukesh Kumar Mehlawat India
Mar Arenas‐Parra Spain
Vincent Mousseau France
Zhe George Zhang United States
Miłosz Kadziński Poland
A. Hadi‐Vencheh Iran
Miguel A. Lejeune United States
Xiaoxia Huang China
Hsuan-Shih Lee Taiwan
Rüdiger Schultz Germany
Zhongfeng Qin relative to Mukesh Kumar Mehlawat India Mukesh Kumar Mehlawat's profile →
Citations per field
00.5×2.6×
Mukesh Kumar Mehlawat · 1×
Citations per year

Countries citing papers authored by Zhongfeng Qin

Since Specialization
Citations

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

Fields of papers citing papers by Zhongfeng Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20251
3 202413
4 20244
5 202311
6 20232
7 202220
8 20225
9 20228
10 202113
11 202129
12 202130
13 202140
14 20113
15 201112
16 201115
17 20112
18 201012
19 200917
20 200953

About Zhongfeng Qin

Zhongfeng Qin is a scholar working on Statistics and Probability, Management Science and Operations Research and Management Information Systems, having authored 81 papers that have together received 1.9k indexed citations. Recurring topics across this work include Fuzzy Systems and Optimization (46 papers), Multi-Criteria Decision Making (24 papers), Risk and Portfolio Optimization (19 papers), Optimization and Mathematical Programming (16 papers), Supply Chain and Inventory Management (9 papers), Energy, Environment, Economic Growth (7 papers), Market Dynamics and Volatility (7 papers) and Facility Location and Emergency Management (5 papers). The work is most often cited by research in Statistics and Probability (692 citations), Management Science and Operations Research (989 citations) and Finance (246 citations). Zhongfeng Qin has collaborated with scholars based in China, India and United States. Frequent co-authors include Samarjit Kar, Xiaoyu Ji, Xiang Li, Ruirui Wu, Yuan Gao, Meng Xu, Meilin Wen, Shaohui Zhang, Xiang Li and Xiang Li. Their work appears in journals such as The Science of The Total Environment, Journal of Cleaner Production and Environmental Pollution.

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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