Jun Zhai

1.8k citations
65 papers · 1.4k · 1 hit paper · h-index 21

Impact in

Papers in

Jun Zhai

58 papers receiving 1.4k citations

Jun Zhai's Hit Papers

Assessing the effects of land use and topography on soil erosion on the Loess Plateau in China 2014 · 383 citations
3830+4+8Years since publication100200300

Peers

Jun Zhai
Comparison fields: 5 of 88
  • Soil Science 341
  • Global and Planetary Change 737
  • Environmental Engineering 367
  • Water Science and Technology 257
  • Ecology 430
Replace Jiuchun Yang with:
Jiuchun Yang China
Qingke Wen China
Yuanhong Deng China
Pengcheng Wang China
Qingzheng Wang China
Jason P. Julian United States
Zhongbao Xin China
Hui Yue China
Nilanjana Das Chatterjee India
Haroon Sajjad India
Jun Zhai relative to Jiuchun Yang China Jiuchun Yang's profile →
Citations per field
00.5×1.5×2.1×
Jiuchun Yang · 1×
Citations per year

Countries citing papers authored by Jun Zhai

Since Specialization
Citations

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

Fields of papers citing papers by Jun Zhai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Assessing the effects of land use and topography on soil erosion on the Loess Plateau in China
Hit paper breakdown →
2014383
2 202156
3 201750
4 202046
5 202144
6 201843
7 201439
8 201437
9 201735
10 202134
11 201834
12 201533
13 202230
14 202229
15 201727
16 201827
17 202325
18 202125
19 201823
20 201922

About Jun Zhai

Jun Zhai is a scholar working on Global and Planetary Change, Ecology, Environmental Engineering, Atmospheric Science and Health, Toxicology and Mutagenesis, having authored 65 papers that have together received 1.4k indexed citations. Recurring topics across this work include Land Use and Ecosystem Services (38 papers), Remote Sensing in Agriculture (12 papers), Urban Heat Island Mitigation (11 papers), Urban Green Space and Health (10 papers), Cryospheric studies and observations (7 papers), Remote Sensing and LiDAR Applications (7 papers), Hydrology and Watershed Management Studies (5 papers) and Remote Sensing and Land Use (5 papers). The work is most often cited by research in Soil Science (341 citations), Global and Planetary Change (737 citations), Environmental Engineering (367 citations), Water Science and Technology (257 citations) and Ecology (430 citations). Jun Zhai has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Jiyuan Liu, Wenyi Sun, Quanqin Shao, Lin Huang, Peng Hou, Yixin Zhang, Guosong Zhao, Jiyuan Liu, Jinwei Dong and Xiangming Xiao. Their work appears in journals such as Remote Sensing, Diversity, Journal of Geographical Sciences, Water 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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