Jilong Lu

53 papers receiving 430 citations

Peers

Jilong Lu
Comparison fields: 5 of 89
  • Pollution 136
  • Radiological and Ultrasound Technology 47
  • Artificial Intelligence 170
  • Geophysics 67
  • Health, Toxicology and Mutagenesis 69
Replace Yuyan Zhao with:
Yuyan Zhao China
Zhenghai Wang China
Angela L. Doherty Italy
Daniel Cicerone Argentina
Alaaddin Vural Türkiye
Carlos Boente Spain
Julie Cattle Australia
Lanshi Nie China
Ziqi Ma China
Hanliang Liu China
Jilong Lu relative to Yuyan Zhao China Yuyan Zhao's profile →
Citations per field
00.5×1.5×2.3×
Yuyan Zhao · 1×
Citations per year

Countries citing papers authored by Jilong Lu

Since Specialization
Citations

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

Fields of papers citing papers by Jilong Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202347
2 201335
3 202222
4 201921
5 201621
6 202117
7 201317
8 201017
9
SHRIMP Zircon U-Pb Dating of Chajian Mafic-Ultramafic Rocks in Hongqiling Mine Field, Jilin Province, and Its Implications
201316
10 202016
11 201415
12 202114
13 201812
14 202311
15 202111
16 202011
17 202211
18 201310
19 20248
20 20228

About Jilong Lu

Jilong Lu is a scholar working on Artificial Intelligence, Pollution, Geophysics, Health, Toxicology and Mutagenesis and Environmental Engineering, having authored 58 papers that have together received 454 indexed citations. Recurring topics across this work include Geochemistry and Geologic Mapping (26 papers), Heavy metals in environment (12 papers), Geological and Geochemical Analysis (12 papers), Soil Geostatistics and Mapping (7 papers), Toxic Organic Pollutants Impact (5 papers), Hydrocarbon exploration and reservoir analysis (4 papers), Remote-Sensing Image Classification (4 papers) and Radioactivity and Radon Measurements (4 papers). The work is most often cited by research in Pollution (136 citations), Radiological and Ultrasound Technology (47 citations), Artificial Intelligence (170 citations), Geophysics (67 citations) and Health, Toxicology and Mutagenesis (69 citations). Jilong Lu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yuyan Zhao, Libo Hao, Libin Zang, Xiaodan Tang, Mi Tian, Yingdong He, Nianping Li, Tian Lan, A Yongga and Weina Zhang. Their work appears in journals such as Sustainability, Journal of Geochemical Exploration, Ore Geology Reviews, The Science of The Total Environment and Natural Resources Research.

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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