Bing Lu

24 papers receiving 542 citations

Peers

Bing Lu
Comparison fields: 5 of 88
  • Analytical Chemistry 214
  • Biophysics 76
  • Industrial and Manufacturing Engineering 98
  • Pollution 66
  • Animal Science and Zoology 56
Replace Dzulkiflee Ismail with:
Dzulkiflee Ismail Malaysia
Kalle Salonen Finland
Simin Wang China
Dachen Wang China
Marc Arnoux United States
Lijun Zhao China
Astrid Dürauer Austria
Wonseok Lee South Korea
Bing Lu relative to Dzulkiflee Ismail Malaysia Dzulkiflee Ismail's profile →
Citations per field
00.5×9.3×
Dzulkiflee Ismail · 1×
Citations per year

Countries citing papers authored by Bing Lu

Since Specialization
Citations

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

Fields of papers citing papers by Bing Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202176
2 201950
3 202243
4 202141
5 202035
6 201632
7 201730
8 202230
9 199527
10 202026
11 202125
12 202025
13 202022
14 201917
15 202117
16 202116
17 202010
18
[The separation and identification of the flavonoids from the leaves of Bryophyllum pinnatum].
20059
19 20197
20 20213

About Bing Lu

Bing Lu is a scholar working on Analytical Chemistry, Molecular Biology, Industrial and Manufacturing Engineering, Pollution and Animal Science and Zoology, having authored 24 papers that have together received 548 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (11 papers), Water Quality Monitoring and Analysis (4 papers), RNA Interference and Gene Delivery (3 papers), Microplastics and Plastic Pollution (3 papers), Spectroscopy Techniques in Biomedical and Chemical Research (3 papers), Smart Agriculture and AI (3 papers), Microtubule and mitosis dynamics (2 papers) and Geochemistry and Geologic Mapping (2 papers). The work is most often cited by research in Analytical Chemistry (214 citations), Biophysics (76 citations), Industrial and Manufacturing Engineering (98 citations), Pollution (66 citations) and Animal Science and Zoology (56 citations). Bing Lu has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Xiuying Tang, Can Hu, Nihong Liu, Ying Peng, Genxi Li, Ying Deng, Xufeng Wang, Xiaojun Gao, Yang Xu and Guoyi Xia. Their work appears in journals such as International journal of agricultural and biological engineering, Computers and Electronics in Agriculture, Biochemical and Biophysical Research Communications, Journal of Soils and Sediments and Hepatology.

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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