Bing Kuang

2.2k citations
30 papers · 1.7k indexed · 1 hit paper · h-index 18

Impact in

Papers in

Bing Kuang

30 papers receiving 1.7k citations

Hit Papers

Provincial cultivated land use efficiency in China: Empirical analysis based on the SBM-DEA model with carbon emissions considered 2019 · 251 citations
251201920262021202350100150200250

Peers

Bing Kuang
Comparison fields: 5 of 132
  • Transportation 188
  • Global and Planetary Change 560
  • Economics and Econometrics 596
  • Environmental Engineering 241
  • Ophthalmology 136
Replace Wei Zou with:
Wei Zou China
John Randolph United States
Danling Chen China
Yunqiang Liu China
Matthew W. Wilson United States
Cecilia Wong United Kingdom
Daniel J. Phaneuf United States
Ying Lin China
Anand Patwardhan United States
Bing Kuang relative to Wei Zou China Wei Zou's profile →
Citations per field
00.5×7.6×
Wei Zou · 1×
Citations per year

Countries citing papers authored by Bing Kuang

Since Specialization
Citations

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

Fields of papers citing papers by Bing Kuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20243
3 20231
4 202234
5 202259
6 2021129
7 20219
8 202074
9 202065
10 2020111
11
Provincial cultivated land use efficiency in China: Empirical analysis based on the SBM-DEA model with carbon emissions considered
Hit paper breakdown →
2019251
12 201919
13 201512
14 20155
15 201315
16 201339
17 201114
18 2011175
19 201066
20 2004140

About Bing Kuang

Bing Kuang is a scholar working on Transportation, Global and Planetary Change, Economics and Econometrics, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 30 papers that have together received 1.7k indexed citations. Recurring topics across this work include Land Use and Ecosystem Services (16 papers), Urban Transport and Accessibility (6 papers), Energy, Environment, Economic Growth (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Housing Market and Economics (4 papers), Biosimilars and Bioanalytical Methods (4 papers), Economic and Environmental Valuation (3 papers) and Protein purification and stability (3 papers). The work is most often cited by research in Transportation (188 citations), Global and Planetary Change (560 citations), Economics and Econometrics (596 citations), Environmental Engineering (241 citations) and Ophthalmology (136 citations). Bing Kuang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xinhai Lu, Min Zhou, Danling Chen, Xupeng Zhang, Jing Li, Jinglong Han, Shukui Tan, Xiangyu Fan, Lindsay King and Clement A. Stanyon. Their work appears in journals such as Land Use Policy, International Journal of Environmental Research and Public Health, Sustainability, Environmental Science and Pollution Research and Habitat International.

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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