Min Tan

3.8k citations
89 papers · 3.0k · 3 hit papers · h-index 24

Impact in

Papers in

Min Tan

80 papers receiving 2.9k citations

Min Tan's Hit Papers

Hierarchical Deep Click Feature Prediction for Fine-Grained Image Recognition 2019 · 461 citations
4610+5+11Years since publication100200300400500

Peers

Min Tan
Comparison fields: 5 of 134
  • Computer Networks and Communications 1.5k
  • Control and Systems Engineering 926
  • Computer Vision and Pattern Recognition 767
  • Media Technology 170
  • Artificial Intelligence 318
Replace Cheng‐Lin Liu with:
Cheng‐Lin Liu China
Masayuki Fujita Japan
Xiangke Wang China
Chun Yin China
Moshe Kam United States
Chaoyang Chen China
Dongbing Gu United Kingdom
Zhiqiang Cao China
J.P. Ostrowski United States
Yinyan Zhang China
Min Tan relative to Cheng‐Lin Liu China Cheng‐Lin Liu's profile →
Citations per field
00.5×1.5×
Cheng‐Lin Liu · 1×
Citations per year

Countries citing papers authored by Min Tan

Since Specialization
Citations

This map shows the geographic impact of Min Tan'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 Min Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Tan more than expected).

Fields of papers citing papers by Min Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min Tan. 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 Min Tan. The network helps show where Min Tan may publish in the future.

Co-authors

The 25 scholars most cited alongside Min Tan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Min Tan Line = papers co-authored together Min Tan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Decentralized Robust Adaptive Control for the Multiagent System Consensus Problem Using Neural Networks
Hit paper breakdown →
2009531
2
Hierarchical Deep Click Feature Prediction for Fine-Grained Image Recognition
Hit paper breakdown →
2019461
3
Neural-Network-Based Adaptive Leader-Following Control for Multiagent Systems With Uncertainties
Hit paper breakdown →
2010295
4 2011190
5 2015124
6 2014122
7 2017118
8 2016115
9 201874
10 201664
11 201457
12 200950
13 200849
14 201044
15 202041
16 201638
17 201137
18 201233
19 200532
20 201529

About Min Tan

Min Tan is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Molecular Biology, Control and Systems Engineering and Artificial Intelligence, having authored 89 papers that have together received 3.0k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (16 papers), Distributed Control Multi-Agent Systems (14 papers), RNA modifications and cancer (12 papers), RNA and protein synthesis mechanisms (12 papers), Robotics and Sensor-Based Localization (10 papers), Neural Networks Stability and Synchronization (10 papers), Advanced Vision and Imaging (8 papers) and Robotic Path Planning Algorithms (7 papers). The work is most often cited by research in Computer Networks and Communications (1.5k citations), Control and Systems Engineering (926 citations), Computer Vision and Pattern Recognition (767 citations), Media Technology (170 citations) and Artificial Intelligence (318 citations). Min Tan has collaborated with scholars based in China, United States and France. Frequent co-authors include Zeng‐Guang Hou, Long Cheng, Long Cheng, Jun Yu, Yong Rui, Dacheng Tao, Hongyuan Zhang, Huiyang Liu, Wenjun Zhang and Yingzi Lin. Their work appears in journals such as Nucleic Acids Research, IEEE Transactions on Automatic Control, IEEE Transactions on Systems Man and Cybernetics Systems, Journal of Biological Chemistry and Neurocomputing.

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.

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