Fei Jin

534 citations
29 papers · 400 · h-index 12

Impact in

  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Hepatitis C virus research
    • Spatial and Panel Data Analysis
    • Regional Economics and Spatial Analysis
    • Economic and Environmental Valuation
    • Housing Market and Economics

Papers in

    • Spatial and Panel Data Analysis 18
    • Regional Economics and Spatial Analysis 15
    • Housing Market and Economics 8
    • Economic and Environmental Valuation 4
    • Fiscal Policy and Economic Growth 2
    • Hepatocellular Carcinoma Treatment and Prognosis 2

Fei Jin

28 papers receiving 396 citations

Peers

Fei Jin
Comparison fields: 5 of 72
  • Hepatology 91
  • Economics and Econometrics 155
  • Epidemiology 101
  • Rheumatology 30
  • Statistics and Probability 16
Replace Yu-Yao Zhu with:
Yu-Yao Zhu China
Д. В. Комов Russia
Takanori Tanase Japan
Robin Van Oirbeek Belgium
Jose Diaz United Kingdom
Chenxi Yin China
B. Lueza France
Arthur W. Wright United States
Ali Saeed United States
Ryohei YAMASHITA Japan
Fei Jin relative to Yu-Yao Zhu China Yu-Yao Zhu's profile →
Citations per field
00.5×9.3×
Yu-Yao Zhu · 1×
Citations per year

Countries citing papers authored by Fei Jin

Since Specialization
Citations

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

Fields of papers citing papers by Fei Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201068
2 201149
3 200933
4 201532
5 201330
6 201425
7 201023
8 201520
9 201818
10 202314
11 201313
12 201112
13 20088
14 20218
15 20177
16 20126
17 20184
18 20134
19 20194
20 20133

About Fei Jin

Fei Jin is a scholar working on Economics and Econometrics, Hepatology, Statistics and Probability, Epidemiology and Genetics, having authored 29 papers that have together received 400 indexed citations. Recurring topics across this work include Spatial and Panel Data Analysis (18 papers), Regional Economics and Spatial Analysis (15 papers), Housing Market and Economics (8 papers), Economic and Environmental Valuation (4 papers), Statistical Methods and Inference (3 papers), Hepatitis B Virus Studies (2 papers), Fiscal Policy and Economic Growth (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). The work is most often cited by research in Hepatology (91 citations), Economics and Econometrics (155 citations), Epidemiology (101 citations), Rheumatology (30 citations) and Statistics and Probability (16 citations). Fei Jin has collaborated with scholars based in China, United States and Türkiye. Frequent co-authors include Lung‐fei Lee, Lishuai Qu, Xizhong Shen, Xiaowu Huang, Nicolas Debarsy, Zhen Feng, Taoyang Chen, Taotao Liu, Jihai Yu and Min Xu. Their work appears in journals such as Journal of Econometrics, Economics Letters, Hepatology Research, Regional Science and Urban Economics and Econometric Reviews.

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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