Lan Huang
Impact in
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- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
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- Protein Kinase Regulation and GTPase Signaling
- Protein Structure and Dynamics
- Cell death mechanisms and regulation
- PI3K/AKT/mTOR signaling in cancer
- Ubiquitin and proteasome pathways
Papers in
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- Network Security and Intrusion Detection 2
- Wireless Communication Networks Research 1
- Co-authors
- Greg S. Martin (1 shared paper)Franz Hofer (1 shared paper)Zhihong Qian (2 shared papers)Xue Wang (2 shared papers)Chunguang Zhou (3 shared papers)Hongsheng Chen (1 shared paper)Xiaowei Wang (1 shared paper)Tian Bai (1 shared paper)
- Journals
- IEEE Access (1 paper)Applied Mechanics and Materials (2 papers)International Journal of Pattern Recognition and Artificial Intelligence (1 paper)Nature Structural Biology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Lan Huang
11 papers receiving 242 citations
Peers
Comparison fields: 5 of 53
- Cell Biology 57
- Molecular Biology 195
- Immunology and Allergy 10
- Cellular and Molecular Neuroscience 16
- Materials Chemistry 39
Countries citing papers authored by Lan Huang
This map shows the geographic impact of Lan Huang'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 Lan Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Huang more than expected).
Fields of papers citing papers by Lan Huang
This network shows the impact of papers produced by Lan Huang. 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 Lan Huang. The network helps show where Lan Huang may publish in the future.
Co-authors
The 20 scholars most cited alongside Lan Huang, 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 | 1998 | 215 | |
| 2 | 2012 | 8 | |
| 3 | 2019 | 6 | |
| 4 | 2009 | 6 | |
| 5 | 2008 | 4 | |
| 6 | 2009 | 2 | |
| 7 | 2020 | 2 | |
| 8 | 2019 | 1 | |
| 9 | 2014 | 1 | |
| 10 | 2008 | 1 | |
| 11 | 2015 | 1 | |
| 12 | Improved particle swarm optimization algorithm for Rectangular Cutting-Stock Problem | 2010 | 0 |
About Lan Huang
Lan Huang is a scholar working on Information Systems, Computer Networks and Communications, Statistical and Nonlinear Physics, Artificial Intelligence and Electrical and Electronic Engineering, having authored 12 papers that have together received 247 indexed citations. Recurring topics across this work include Advanced Manufacturing and Logistics Optimization (2 papers), Network Security and Intrusion Detection (2 papers), Optimization and Packing Problems (2 papers), Complex Network Analysis Techniques (2 papers), Wireless Communication Networks Research (1 paper), Cognitive Computing and Networks (1 paper), Underwater Vehicles and Communication Systems (1 paper) and Advanced MIMO Systems Optimization (1 paper). The work is most often cited by research in Cell Biology (57 citations), Molecular Biology (195 citations), Immunology and Allergy (10 citations), Cellular and Molecular Neuroscience (16 citations) and Materials Chemistry (39 citations). Lan Huang has collaborated with scholars based in China and United States. Frequent co-authors include Greg S. Martin, Franz Hofer, Zhihong Qian, Xue Wang, Chunguang Zhou, Hongsheng Chen, Xiaowei Wang, Tian Bai, Xin Wang and Zhe Wang. Their work appears in journals such as IEEE Access, Applied Mechanics and Materials, International Journal of Pattern Recognition and Artificial Intelligence and Nature Structural Biology.
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.