Lei Lin
Impact in
- Transportation top 0.5%
- Transportation Planning and Optimization
- Human Mobility and Location-Based Analysis
- Building and Construction top 0.5%
- Traffic Prediction and Management Techniques
Papers in
-
- Machine Learning in Bioinformatics 21
- Genomics and Phylogenetic Studies 14
- Protein Structure and Dynamics 14
-
- Topic Modeling 17
- Natural Language Processing Techniques 9
- Co-authors
- Xiaolong Wang (34 shared papers)Adel W. Sadek (11 shared papers)Srinivas Peeta (3 shared papers)Zhengbing He (2 shared papers)Qian Wang (7 shared papers)Qiwen Dong (14 shared papers)Weizi Li (4 shared papers)Tao Li (1 shared paper)
- Journals
- Transportation Research Part C Emerging Technologies (5 papers)BMC Bioinformatics (4 papers)Proteins Structure Function and Bioinformatics (2 papers)Bioinformatics (2 papers)IEEE Access (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Lei Lin
110 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Transportation 577
- Building and Construction 783
- Automotive Engineering 434
- Computational Mathematics 20
- Safety, Risk, Reliability and Quality 249
Countries citing papers authored by Lei Lin
This map shows the geographic impact of Lei Lin'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 Lei Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Lin more than expected).
Fields of papers citing papers by Lei Lin
This network shows the impact of papers produced by Lei Lin. 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 Lei Lin. The network helps show where Lei Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Lei Lin, 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 115 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Predicting station-level hourly demand in a large-scale bike-sharing network: A graph convolutional neural network approach Hit paper breakdown → | 2018 | 317 |
| 2 | Vehicle Trajectory Prediction Using LSTMs With Spatial–Temporal Attention Mechanisms Hit paper breakdown → | 2021 | 181 |
| 3 | 2015 | 139 | |
| 4 | 2020 | 113 | |
| 5 | 2008 | 109 | |
| 6 | 2019 | 105 | |
| 7 | Modeling mention, context and entity with neural networks for entity disambiguation | 2015 | 91 |
| 8 | 2005 | 81 | |
| 9 | 2016 | 74 | |
| 10 | 2021 | 66 | |
| 11 | 2017 | 63 | |
| 12 | 2007 | 63 | |
| 13 | 2019 | 59 | |
| 14 | 2018 | 44 | |
| 15 | 2021 | 43 | |
| 16 | 2013 | 42 | |
| 17 | 2020 | 39 | |
| 18 | 2009 | 38 | |
| 19 | 2015 | 36 | |
| 20 | 2007 | 34 |
About Lei Lin
Lei Lin is a scholar working on Molecular Biology, Artificial Intelligence, Building and Construction, Automotive Engineering and Electrical and Electronic Engineering, having authored 115 papers that have together received 2.4k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (21 papers), Traffic Prediction and Management Techniques (21 papers), Topic Modeling (17 papers), Advanced Battery Technologies Research (16 papers), Transportation Planning and Optimization (15 papers), Genomics and Phylogenetic Studies (14 papers), Protein Structure and Dynamics (14 papers) and Natural Language Processing Techniques (9 papers). The work is most often cited by research in Transportation (577 citations), Building and Construction (783 citations), Automotive Engineering (434 citations), Computational Mathematics (20 citations) and Safety, Risk, Reliability and Quality (249 citations). Lei Lin has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xiaolong Wang, Adel W. Sadek, Srinivas Peeta, Zhengbing He, Qian Wang, Qiwen Dong, Weizi Li, Tao Li, Chengjie Sun and Lingqiao Qin. Their work appears in journals such as Transportation Research Part C Emerging Technologies, BMC Bioinformatics, Proteins Structure Function and Bioinformatics, Bioinformatics and IEEE Access.
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.