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 6
- Bioinformatics and Genomic Networks 2
- Machine Learning in Bioinformatics 2
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- Parallel Computing and Optimization Techniques 5
- 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)Zechen Wang (1 shared paper)Kai Jiang (1 shared paper)Weifeng Li (1 shared paper)
- Journals
- IEEE Transactions on Parallel and Distributed Systems (2 papers)Bioinformatics (2 papers)BMC Bioinformatics (1 paper)Briefings in Bioinformatics (1 paper)Angewandte Chemie International Edition (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Haidong Lan
17 papers receiving 309 citations
Peers
Comparison fields: 5 of 65
- Hardware and Architecture 36
- Computational Theory and Mathematics 59
- Molecular Biology 171
- Computer Networks and Communications 53
- Artificial Intelligence 70
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 | 82 | |
| 2 | 2017 | 40 | |
| 3 | 2019 | 29 | |
| 4 | 2021 | 27 | |
| 5 | End-to-end I/O Monitoring on a Leading Supercomputer | 2019 | 21 |
| 6 | 2014 | 20 | |
| 7 | 2018 | 17 | |
| 8 | 2016 | 16 | |
| 9 | 2021 | 15 | |
| 10 | 2022 | 12 | |
| 11 | 2020 | 10 | |
| 12 | 2017 | 10 | |
| 13 | 2015 | 7 | |
| 14 | 2017 | 3 | |
| 15 | 2017 | 3 | |
| 16 | MyPhi: Efficient Levenshtein Distance Computation on Xeon Phi Based Architectures | 2018 | 1 |
| 17 | 2021 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2014 | 0 |
About Haidong Lan
Haidong Lan is a scholar working on Molecular Biology, Hardware and Architecture, Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 19 papers that have together received 314 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (6 papers), Parallel Computing and Optimization Techniques (5 papers), Advanced Data Storage Technologies (4 papers), Algorithms and Data Compression (4 papers), Click Chemistry and Applications (2 papers), Advanced Proteomics Techniques and Applications (2 papers), Bioinformatics and Genomic Networks (2 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Hardware and Architecture (36 citations), Computational Theory and Mathematics (59 citations), Molecular Biology (171 citations), Computer Networks and Communications (53 citations) and Artificial Intelligence (70 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, Zechen Wang, Kai Jiang, Weifeng Li, Hongwei Guo and Yuguang Mu. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Bioinformatics, BMC Bioinformatics, Briefings in Bioinformatics and Angewandte Chemie International Edition.
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.