Lan Zhang
- Artificial Intelligence top 2%
- Information Systems top 2%
- Computer Vision and Pattern Recognition top 2%
- Computer Networks and Communications top 5%
- Signal Processing top 2%
- Topics
- Privacy-Preserving Technologies in Data (31 papers)Mobile Crowdsensing and Crowdsourcing (19 papers)Cryptography and Data Security (18 papers)
- Cited by
- Signal ProcessingIndustrial and Manufacturing EngineeringComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceChemical Engineering JournalPolymer
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Lan Zhang
129 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 118
- Artificial Intelligence 576
- Information Systems 374
- Computer Vision and Pattern Recognition 372
- Computer Networks and Communications 290
- Signal Processing 286
Countries citing papers authored by Lan Zhang
This map shows the geographic impact of Lan Zhang'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 Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Zhang more than expected).
Fields of papers citing papers by Lan Zhang
This network shows the impact of papers produced by Lan Zhang. 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 Zhang. The network helps show where Lan Zhang may publish in the future.
Co-authorship network of co-authors of Lan Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Lan Zhang. A scholar is included among the top collaborators of Lan Zhang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lan Zhang. Lan Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 4 | |
| 10 | 11 | |
| 11 | 0 | |
| 12 | 1 | |
| 13 | 5 | |
| 14 | 0 | |
| 15 | 4 | |
| 16 | 1 | |
| 17 | 11 | |
| 18 | 10 | |
| 19 | A TDMA MAC Protocol Supporting QoS in Ad Hoc Network | 1 |
| 20 | A Note on Probabilistic Rebound Automata | 1 |
About Lan Zhang
Lan Zhang is a scholar working on Computer Science Applications, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 148 papers that have together received 1.7k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (31 papers), Mobile Crowdsensing and Crowdsourcing (19 papers) and Cryptography and Data Security (18 papers). The work is most often cited by research in Signal Processing (286 citations), Industrial and Manufacturing Engineering (183 citations) and Computer Vision and Pattern Recognition (372 citations). Lan Zhang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Xiang‐Yang Li, Taeho Jung, Kebin Liu, Jiying Wei, Xuan Zhao, Bo Cheng, Fuzhi Li, Feng Jiang, Qiuyuan Huang and Yunhao Liu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Chemical Engineering Journal and Polymer.
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.