Bin Quan

591 citations
28 papers · 480 · h-index 13

Impact in

Papers in

Bin Quan

27 papers receiving 475 citations

Peers

Bin Quan
Comparison fields: 5 of 49
  • Global and Planetary Change 402
  • Management, Monitoring, Policy and Law 75
  • Atmospheric Science 111
  • Water Science and Technology 71
  • Ecology 124
Replace Shiliang Yang with:
Shiliang Yang China
Wenqiang Xu China
Takuro Inohae Japan
Tadashi Nagaie Japan
Xin Fan China
Yanqing Lang China
Dengshuai Chen China
Yuewei Duan China
Sipei Pan China
Xianfu Lu United Kingdom
Bin Quan relative to Shiliang Yang China Shiliang Yang's profile →
Citations per field
00.5×10×20×32×
Shiliang Yang · 1×
Citations per year

Countries citing papers authored by Bin Quan

Since Specialization
Citations

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

Fields of papers citing papers by Bin Quan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202261
2 200659
3 201948
4 201537
5 200736
6 202234
7 201731
8 202126
9 201824
10 201123
11 202317
12 202315
13 201313
14 202312
15 20089
16 20197
17 20227
18 20135
19
The study of urban interaction based on modified gravity model —A case of Changsha-Zhuzhou-Xiangtan
20123
20 20093

About Bin Quan

Bin Quan is a scholar working on Global and Planetary Change, Atmospheric Science, Economics and Econometrics, Health, Toxicology and Mutagenesis and Ecology, having authored 28 papers that have together received 480 indexed citations. Recurring topics across this work include Land Use and Ecosystem Services (18 papers), Remote Sensing and Land Use (17 papers), Environmental Changes in China (9 papers), Regional Economic and Spatial Analysis (6 papers), Urban Green Space and Health (5 papers), Conservation, Biodiversity, and Resource Management (3 papers), Soil and Land Suitability Analysis (3 papers) and Remote Sensing in Agriculture (2 papers). The work is most often cited by research in Global and Planetary Change (402 citations), Management, Monitoring, Policy and Law (75 citations), Atmospheric Science (111 citations), Water Science and Technology (71 citations) and Ecology (124 citations). Bin Quan has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include M. J. M. Römkens, Robert Gilmore Pontius, Bicheng Li, Jianxiong Liu, Jianfei Chen, Jing Fu, Zhongbo Zhang, Songlin Chen, Jianxin Qin and Jun Zou. Their work appears in journals such as Sustainability, Forests, Pedosphere, Chinese Geographical Science and International Journal of Environmental Research and Public Health.

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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