Bin Lou
Impact in
- Health Informatics top 2%
- Fuel Technology top 2%
Papers in
-
- Fiber-reinforced polymer composites 25
-
- Sphingolipid Metabolism and Signaling 6
- Co-authors
- Dong Liu (26 shared papers)Man-Ping Wu (4 shared papers)Ran Yu (16 shared papers)Ming Li (9 shared papers)Jingbo Pi (3 shared papers)Yuxin Hu (4 shared papers)Yuanyuan Xu (4 shared papers)Ruirui Wu (2 shared papers)
- Journals
- Fuel (11 papers)Energy & Fuels (7 papers)Journal of Analytical and Applied Pyrolysis (6 papers)Fuel Processing Technology (4 papers)Journal of drug targeting (3 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Bin Lou
111 papers receiving 3.3k citations
Bin Lou's Hit Papers
Peers
Comparison fields: 5 of 171
- Health Informatics 63
- Fuel Technology 25
- Modeling and Simulation 109
- Mechanical Engineering 689
- Radiology, Nuclear Medicine and Imaging 368
Countries citing papers authored by Bin Lou
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
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.
All Works
Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Role of Reactive Oxygen Species in Arsenic Toxicity Hit paper breakdown → | 2020 | 307 |
| 2 | 2020 | 216 | |
| 3 | 2018 | 192 | |
| 4 | An image-based deep learning framework for individualising radiotherapy dose: a retrospective analysis of outcome prediction Hit paper breakdown → | 2019 | 161 |
| 5 | 2021 | 84 | |
| 6 | 2004 | 80 | |
| 7 | 2011 | 75 | |
| 8 | 2018 | 73 | |
| 9 | 2005 | 66 | |
| 10 | 2006 | 62 | |
| 11 | 2006 | 61 | |
| 12 | 2018 | 58 | |
| 13 | 2005 | 57 | |
| 14 | 2018 | 56 | |
| 15 | 2006 | 54 | |
| 16 | 2019 | 52 | |
| 17 | 2023 | 49 | |
| 18 | 2021 | 45 | |
| 19 | 2008 | 45 | |
| 20 | 2013 | 43 |
About Bin Lou
Bin Lou is a scholar working on Mechanical Engineering, Molecular Biology, Materials Chemistry, Electrical and Electronic Engineering and Polymers and Plastics, having authored 117 papers that have together received 3.3k indexed citations. Recurring topics across this work include Fiber-reinforced polymer composites (25 papers), Advancements in Battery Materials (10 papers), Petroleum Processing and Analysis (9 papers), Polymer Nanocomposites and Properties (8 papers), Prostate Cancer Diagnosis and Treatment (8 papers), Organic Light-Emitting Diodes Research (7 papers), Lanthanide and Transition Metal Complexes (6 papers) and Sphingolipid Metabolism and Signaling (6 papers). The work is most often cited by research in Health Informatics (63 citations), Fuel Technology (25 citations), Modeling and Simulation (109 citations), Mechanical Engineering (689 citations) and Radiology, Nuclear Medicine and Imaging (368 citations). Bin Lou has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Dong Liu, Man-Ping Wu, Ran Yu, Ming Li, Jingbo Pi, Yuxin Hu, Yuanyuan Xu, Ruirui Wu, Huihui Wang and Xueling Liao. Their work appears in journals such as Fuel, Energy & Fuels, Journal of Analytical and Applied Pyrolysis, Fuel Processing Technology and Journal of drug targeting.
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.