Xiaobin Jin

1.9k citations
29 papers · 1.7k · 1 hit paper · h-index 20

Impact in

    • Land Use and Ecosystem Services
    • Impact of Light on Environment and Health
    • Conservation, Biodiversity, and Resource Management
    • Urban Transport and Accessibility

Papers in

Xiaobin Jin

27 papers receiving 1.7k citations

Xiaobin Jin's Hit Papers

Evaluating cities' vitality and identifying ghost cities in China with emerging geographical data 2017 · 318 citations
3180+3+6Years since publication100200300

Peers

Xiaobin Jin
Comparison fields: 5 of 94
  • Global and Planetary Change 1.1k
  • Transportation 308
  • Health, Toxicology and Mutagenesis 442
  • Environmental Engineering 224
  • Urban Studies 91
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Citations per field
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Citations per year

Countries citing papers authored by Xiaobin Jin

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobin Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaobin 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 Xiaobin Jin Line = papers co-authored together Xiaobin 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
Evaluating cities' vitality and identifying ghost cities in China with emerging geographical data
Hit paper breakdown →
2017318
2 2019227
3 2019133
4 2009107
5 201897
6 201587
7 202184
8 202074
9 201969
10 201562
11 201558
12 201849
13 202248
14 201245
15 201845
16 202035
17 202326
18 201724
19 201624
20 201920

About Xiaobin Jin

Xiaobin Jin is a scholar working on Global and Planetary Change, Health, Toxicology and Mutagenesis, Transportation, Atmospheric Science and Ecology, having authored 29 papers that have together received 1.7k indexed citations. Recurring topics across this work include Land Use and Ecosystem Services (19 papers), Urban Green Space and Health (6 papers), Climate Change and Health Impacts (6 papers), Remote Sensing and Land Use (5 papers), Air Quality and Health Impacts (5 papers), Remote Sensing in Agriculture (4 papers), Urban Transport and Accessibility (4 papers) and Economic and Environmental Valuation (3 papers). The work is most often cited by research in Global and Planetary Change (1.1k citations), Transportation (308 citations), Health, Toxicology and Mutagenesis (442 citations), Environmental Engineering (224 citations) and Urban Studies (91 citations). Xiaobin Jin has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yinkang Zhou, Xuhong Yang, Yeting Fan, Ying Long, Jie Ren, Zhengming Gu, Changqiao Hong, Wei Sun, Jingxian Tang and Weiyi Xu. Their work appears in journals such as The Science of The Total Environment, International Journal of Environmental Research and Public Health, Journal of Environmental Management, Applied Geography and Annals of the American Association of Geographers.

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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