Bin Lou

2.4k citations
67 papers · 1.9k · h-index 27

Impact in

Papers in

Bin Lou

64 papers receiving 1.9k citations

Peers

Bin Lou
Comparison fields: 5 of 98
  • Fuel Technology 578
  • Health Informatics 120
  • Analytical Chemistry 215
  • Cognitive Neuroscience 332
  • Radiology, Nuclear Medicine and Imaging 203
Replace Guoyang Liu with:
Guoyang Liu China
Renxin Wang China
Shirley M. Coyle Ireland
Minsu Park South Korea
Liting Shi China
Tianyao Wang China
Samuel A. Solomon United States
Eric T. McAdams France
Jianmei Chen China
Jinhwan Jung South Korea
Bin Lou relative to Guoyang Liu China Guoyang Liu's profile →
Citations per field
00.5×50×120×
Guoyang Liu · 1×
Citations per year

Countries citing papers authored by Bin Lou

Since Specialization
Citations

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

Fields of papers citing papers by Bin Lou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018210
2 2019169
3 202198
4 201880
5 201173
6 201860
7 201860
8 201959
9 202355
10 202148
11 201945
12 202045
13 201344
14 201840
15 200838
16 201738
17 202136
18 201634
19 202133
20 202133

About Bin Lou

Bin Lou is a scholar working on Fuel Technology, Analytical Chemistry, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Inorganic Chemistry, having authored 67 papers that have together received 1.9k indexed citations. Recurring topics across this work include Coal and Coke Industries Research (26 papers), Petroleum Processing and Analysis (16 papers), Advancements in Battery Materials (9 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Fiber-reinforced polymer composites (6 papers), EEG and Brain-Computer Interfaces (5 papers), AI in cancer detection (5 papers) and Microbial bioremediation and biosurfactants (4 papers). The work is most often cited by research in Fuel Technology (578 citations), Health Informatics (120 citations), Analytical Chemistry (215 citations), Cognitive Neuroscience (332 citations) and Radiology, Nuclear Medicine and Imaging (203 citations). Bin Lou has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Dong Liu, Ming Li, Shuhai Guo, Ali Kamen, Paul Sajda, Xin Gong, Zhuowu Men, Zhiheng Li, Zhichen Zhang and Brianna Pritchett. Their work appears in journals such as Fuel, Energy & Fuels, Journal of Analytical and Applied Pyrolysis, Fuel Processing Technology and Journal of Hazardous Materials.

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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