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
- Melanoma and MAPK Pathways
Papers in
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- Spam and Phishing Detection 1
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- Network Security and Intrusion Detection 2
- Co-authors
- Greg S. Martin (1 shared paper)Franz Hofer (1 shared paper)Xiaowei Wang (1 shared paper)Xue Wang (2 shared papers)Tian Bai (1 shared paper)Xin Wang (2 shared papers)Zhe Wang (1 shared paper)Zhihong Qian (2 shared papers)
- 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 241 citations
Peers
Comparison fields: 5 of 56
- Cell Biology 58
- Molecular Biology 198
- Immunology and Allergy 10
- Cellular and Molecular Neuroscience 16
- Materials Chemistry 40
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 | 2009 | 6 | |
| 4 | 2019 | 6 | |
| 5 | 2008 | 4 | |
| 6 | 2009 | 2 | |
| 7 | 2008 | 2 | |
| 8 | 2020 | 1 | |
| 9 | 2014 | 1 | |
| 10 | 2019 | 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 Optimization and Packing Problems (2 papers), Advanced Manufacturing and Logistics Optimization (2 papers), Complex Network Analysis Techniques (2 papers), Network Security and Intrusion Detection (2 papers), Vehicle Routing Optimization Methods (1 paper), Spam and Phishing Detection (1 paper), Online Learning and Analytics (1 paper) and Advanced Wireless Network Optimization (1 paper). The work is most often cited by research in Cell Biology (58 citations), Molecular Biology (198 citations), Immunology and Allergy (10 citations), Cellular and Molecular Neuroscience (16 citations) and Materials Chemistry (40 citations). Lan Huang has collaborated with scholars based in China and United States. Frequent co-authors include Greg S. Martin, Franz Hofer, Xiaowei Wang, Xue Wang, Tian Bai, Xin Wang, Zhe Wang, Zhihong Qian, Hongsheng Chen and Chunguang Zhou. 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.