Haidong Lan
Impact in
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
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- Computational Drug Discovery Methods
Papers in
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- Genomics and Phylogenetic Studies 8
- Machine Learning in Bioinformatics 3
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- Algorithms and Data Compression 6
- Co-authors
- Weiguo Liu (11 shared papers)Bertil Schmidt (10 shared papers)Jintao Meng (4 shared papers)Liangzhen Zheng (2 shared papers)Yanjie Wei (3 shared papers)Yuguang Mu (1 shared paper)Weifeng Li (1 shared paper)Hongwei Guo (1 shared paper)
- Journals
- IEEE Transactions on Parallel and Distributed Systems (2 papers)Bioinformatics (2 papers)Computational and Structural Biotechnology Journal (1 paper)BMC Bioinformatics (1 paper)Proteins Structure Function and Bioinformatics (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Haidong Lan
17 papers receiving 299 citations
Peers
Comparison fields: 5 of 71
- Hardware and Architecture 36
- Computational Theory and Mathematics 58
- Molecular Biology 179
- Artificial Intelligence 76
- Computer Networks and Communications 53
Countries citing papers authored by Haidong Lan
This map shows the geographic impact of Haidong Lan'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 Haidong Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haidong Lan more than expected).
Fields of papers citing papers by Haidong Lan
This network shows the impact of papers produced by Haidong Lan. 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 Haidong Lan. The network helps show where Haidong Lan may publish in the future.
Co-authors
The 25 scholars most cited alongside Haidong Lan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 77 | |
| 2 | 2017 | 40 | |
| 3 | 2019 | 29 | |
| 4 | 2021 | 26 | |
| 5 | End-to-end I/O Monitoring on a Leading Supercomputer | 2019 | 21 |
| 6 | 2014 | 20 | |
| 7 | 2016 | 16 | |
| 8 | 2018 | 16 | |
| 9 | 2021 | 15 | |
| 10 | 2022 | 11 | |
| 11 | 2017 | 10 | |
| 12 | 2020 | 10 | |
| 13 | 2015 | 7 | |
| 14 | 2017 | 3 | |
| 15 | 2017 | 3 | |
| 16 | 2021 | 1 | |
| 17 | MyPhi: Efficient Levenshtein Distance Computation on Xeon Phi Based Architectures | 2018 | 1 |
| 18 | 2025 | 0 | |
| 19 | 2014 | 0 |
About Haidong Lan
Haidong Lan is a scholar working on Molecular Biology, Artificial Intelligence, Hardware and Architecture, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 19 papers that have together received 306 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (8 papers), Parallel Computing and Optimization Techniques (6 papers), Algorithms and Data Compression (6 papers), Advanced Data Storage Technologies (4 papers), Machine Learning in Bioinformatics (3 papers), Computational Drug Discovery Methods (2 papers), Microbial Natural Products and Biosynthesis (2 papers) and Click Chemistry and Applications (2 papers). The work is most often cited by research in Hardware and Architecture (36 citations), Computational Theory and Mathematics (58 citations), Molecular Biology (179 citations), Artificial Intelligence (76 citations) and Computer Networks and Communications (53 citations). Haidong Lan has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Weiguo Liu, Bertil Schmidt, Jintao Meng, Liangzhen Zheng, Yanjie Wei, Yuguang Mu, Weifeng Li, Hongwei Guo, Kai Jiang and Zechen Wang. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Bioinformatics, Computational and Structural Biotechnology Journal, BMC Bioinformatics and Proteins Structure Function and Bioinformatics.
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.