Tieyan Li

1.6k citations
67 papers · 941 · h-index 19

Impact in

Papers in

Tieyan Li

67 papers receiving 888 citations

Peers

Tieyan Li
Comparison fields: 5 of 101
  • Media Technology 331
  • Computer Networks and Communications 499
  • Information Systems 361
  • Artificial Intelligence 218
  • Signal Processing 68
Replace Jingjing Guo with:
Jingjing Guo China
Jun Murai Japan
Nandini Mukherjee India
Shuhao Zhang China
Ruinian Li China
Yinqiu Liu China
Qimei Chen China
Kentaro Ishizu Japan
Sijing Zhang United Kingdom
Tieyan Li relative to Jingjing Guo China Jingjing Guo's profile →
Citations per field
00.5×10.3×
Jingjing Guo · 1×
Citations per year

Countries citing papers authored by Tieyan Li

Since Specialization
Citations

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

Fields of papers citing papers by Tieyan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200794
2 200475
3 202356
4 200956
5 201450
6 202244
7 202134
8 200933
9 201433
10 200828
11 202423
12 200922
13 202221
14 202321
15 200920
16 202319
17 201519
18 202319
19 202218
20 200818

About Tieyan Li

Tieyan Li is a scholar working on Computer Networks and Communications, Media Technology, Information Systems, Artificial Intelligence and Electrical and Electronic Engineering, having authored 67 papers that have together received 941 indexed citations. Recurring topics across this work include RFID technology advancements (25 papers), Advanced Authentication Protocols Security (18 papers), User Authentication and Security Systems (16 papers), Cryptography and Data Security (8 papers), Security in Wireless Sensor Networks (6 papers), Mobile Agent-Based Network Management (6 papers), Access Control and Trust (5 papers) and Internet Traffic Analysis and Secure E-voting (5 papers). The work is most often cited by research in Media Technology (331 citations), Computer Networks and Communications (499 citations), Information Systems (361 citations), Artificial Intelligence (218 citations) and Signal Processing (68 citations). Tieyan Li has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Robert H. Deng, Haiguang Wang, Yingjiu Li, Cheng‐Kang Chu, Zheng Yan, Xin Kang, Pedro Peris‐Lopez, Kui Ren, Zhiguo Wan and Kwangjo Kim. Their work appears in journals such as IEEE Access, IEEE Network, Computer Networks, IEEE Transactions on Dependable and Secure Computing and Pervasive and Mobile Computing.

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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