Zinan Lin

1.2k citations
27 papers · 445 · h-index 8

Impact in

Papers in

Zinan Lin

26 papers receiving 427 citations

Peers

Zinan Lin
Comparison fields: 5 of 33
  • Computer Networks and Communications 314
  • Electrical and Electronic Engineering 253
  • Computer Vision and Pattern Recognition 86
  • Artificial Intelligence 82
  • Signal Processing 25
Replace Dmitry Kogan with:
Dmitry Kogan Israel
Guanbo Zheng United States
Luca Rose France
Xianlong Jiao China
Geon-Hwan Kim South Korea
Alejandra Mercado United States
Joshua Bassey United States
Pin-Hsun Lin Germany
Ticao Zhang United States
Zinan Lin relative to Dmitry Kogan Israel Dmitry Kogan's profile →
Citations per field
00.5×8.5×
Dmitry Kogan · 1×
Citations per year

Countries citing papers authored by Zinan Lin

Since Specialization
Citations

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

Fields of papers citing papers by Zinan Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Zinan Lin, 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 Zinan Lin Line = papers co-authored together Zinan Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006178
2 201875
3 202256
4 200526
5
Cooperative Regions for Coded Cooperative Systems
200421
6 200619
7 200812
8
Robustness of conditional GANs to noisy labels
20187
9 20136
10 20225
11
InfoGAN-CR: Disentangling Generative Adversarial Networks with Contrastive Regularizers
20195
12 20225
13
Exact pairwise error probability for the MIMO block fading channel
20045
14 20194
15 20054
16 20053
17 20243
18 20092
19 20092
20 20251

About Zinan Lin

Zinan Lin is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 27 papers that have together received 445 indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (9 papers), Cooperative Communication and Network Coding (8 papers), Wireless Communication Security Techniques (5 papers), Adversarial Robustness in Machine Learning (4 papers), Wireless Communication Networks Research (3 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Digital Media Forensic Detection (3 papers) and Advanced Wireless Network Optimization (3 papers). The work is most often cited by research in Computer Networks and Communications (314 citations), Electrical and Electronic Engineering (253 citations), Computer Vision and Pattern Recognition (86 citations), Artificial Intelligence (82 citations) and Signal Processing (25 citations). Zinan Lin has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Elza Erkip, Shivendra S. Panwar, Pei Liu, Zhifeng Tao, Yongfeng Huang, Jilong Wang, Vyas Sekar, Monisha Ghosh, Afshin Haghighat and Guodong Zhang. Their work appears in journals such as IEEE Wireless Communications, IEEE Transactions on Information Forensics and Security, Journal of Electrical and Computer Engineering, Globecom and 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring).

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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