Bijing Jin

432 citations
21 papers · 319 · 1 hit paper · h-index 10

Impact in

Papers in

Bijing Jin

15 papers receiving 307 citations

Bijing Jin's Hit Papers

Advanced integration of ensemble learning and MT-InSAR for enhanced slow-moving landslide susceptibility zoning 2024 · 57 citations
570+1Years since publication1020304050

Peers

Bijing Jin
Comparison fields: 5 of 28
  • Management, Monitoring, Policy and Law 227
  • Aerospace Engineering 54
  • Global and Planetary Change 20
  • Safety, Risk, Reliability and Quality 7
  • Media Technology 4
Replace Inmaculada García-Moreno with:
Inmaculada García-Moreno Spain
Hesheng Sun China
Tayfun Kurt Türkiye
Gaetano Pecoraro Italy
Runqiang Zeng China
Pedro Henrique Muniz Lima Austria
Jingtao Liang China
Gianluca Rossi Italy
Giuseppe Centolanza Spain
A. Zannoni Italy
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Citations per field
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Citations per year

Countries citing papers authored by Bijing Jin

Since Specialization
Citations

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

Fields of papers citing papers by Bijing Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202368
2
Advanced integration of ensemble learning and MT-InSAR for enhanced slow-moving landslide susceptibility zoning
Hit paper breakdown →
202457
3 202352
4 202229
5 202318
6 202418
7 202415
8 202313
9 202412
10 202410
11 202510
12 202510
13 20232
14 20242
15 20252
16 20241
17 20240
18 20260
19 20260
20 20260

About Bijing Jin

Bijing Jin is a scholar working on Management, Monitoring, Policy and Law, Aerospace Engineering, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 21 papers that have together received 319 indexed citations. Recurring topics across this work include Landslides and related hazards (17 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (4 papers). The work is most often cited by research in Management, Monitoring, Policy and Law (227 citations), Aerospace Engineering (54 citations), Global and Planetary Change (20 citations), Safety, Risk, Reliability and Quality (7 citations) and Media Technology (4 citations). Bijing Jin has collaborated with scholars based in China, Italy and Austria. Frequent co-authors include Taorui Zeng, Kunlong Yin, Zizheng Guo, Lei Gui, Binbin Zhao, Thomas Glade, Ying Li, Dario Peduto, Yuhang Zhu and Linfeng Wang. Their work appears in journals such as Remote Sensing, Bulletin of Engineering Geology and the Environment, Engineering Geology, Landslides and Applied Sciences.

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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