Tsung-Nan Lin

3.8k total citations · 1 hit paper
112 papers, 2.7k citations indexed

About

Tsung-Nan Lin is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Signal Processing. According to data from OpenAlex, Tsung-Nan Lin has authored 112 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Computer Networks and Communications, 46 papers in Electrical and Electronic Engineering and 23 papers in Signal Processing. Recurrent topics in Tsung-Nan Lin's work include Indoor and Outdoor Localization Technologies (21 papers), Wireless Networks and Protocols (14 papers) and Cooperative Communication and Network Coding (12 papers). Tsung-Nan Lin is often cited by papers focused on Indoor and Outdoor Localization Technologies (21 papers), Wireless Networks and Protocols (14 papers) and Cooperative Communication and Network Coding (12 papers). Tsung-Nan Lin collaborates with scholars based in Taiwan, United States and Japan. Tsung-Nan Lin's co-authors include Shih‐Hau Fang, C. Lee Giles, B.G. Horne, Peter Tiňo, Po-Chiang Lin, Zhen‐Ming Ge, Bill G. Horne, Sun‐Yuan Kung, Hsien-Keng Chen and Juhn-Horng Chen and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Signal Processing and IEEE Access.

In The Last Decade

Tsung-Nan Lin

108 papers receiving 2.6k citations

Hit Papers

Learning long-term dependencies in NARX recurrent neural ... 1996 2026 2006 2016 1996 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Learning long-term dependencies in NARX recurrent neural networks
    1996 536 citations Tsung-Nan Lin, B.G. Horne et al. IEEE Transactions on Neural Networks profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tsung-Nan Lin Taiwan 27 1.4k 848 619 491 474 112 2.7k
Zhiqiang Wu United States 26 1.6k 1.1× 1.2k 1.4× 288 0.5× 517 1.1× 144 0.3× 284 2.8k
Stefan Werner Finland 35 3.4k 2.4× 2.1k 2.5× 1.1k 1.8× 665 1.4× 162 0.3× 290 6.0k
Feng Yin China 25 898 0.6× 432 0.5× 167 0.3× 703 1.4× 249 0.5× 173 2.0k
P. Krishnamurthy United States 38 2.5k 1.8× 1.9k 2.3× 550 0.9× 822 1.7× 639 1.3× 272 6.0k
Fredrik Gunnarsson Sweden 27 3.1k 2.2× 1.7k 2.0× 488 0.8× 1.4k 2.8× 762 1.6× 130 4.6k
Li Zhang China 36 2.5k 1.7× 2.7k 3.1× 256 0.4× 606 1.2× 113 0.2× 348 5.0k
Cynthia A. Phillips United States 25 314 0.2× 1.5k 1.7× 442 0.7× 264 0.5× 410 0.9× 92 2.9k
Gang Wang China 32 2.4k 1.7× 822 1.0× 789 1.3× 1.2k 2.4× 910 1.9× 181 3.7k
Mohammad Khishe Iran 35 791 0.6× 361 0.4× 261 0.4× 1.8k 3.6× 445 0.9× 153 4.2k
Mokhtar Mohammadi Iraq 33 325 0.2× 536 0.6× 414 0.7× 830 1.7× 446 0.9× 100 3.2k

Countries citing papers authored by Tsung-Nan Lin

Since Specialization
Citations

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

Fields of papers citing papers by Tsung-Nan Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tsung-Nan Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Tsung-Nan Lin. A scholar is included among the top collaborators of Tsung-Nan Lin 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 Tsung-Nan Lin. Tsung-Nan Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Pujar, Saurabh, Yunhui Zheng, Jim Laredo, et al.. (2024). Analyzing source code vulnerabilities in the D2A dataset with ML ensembles and C-BERT. Empirical Software Engineering. 29(2). 2 indexed citations
2.
Tanuwidjaja, Harry Chandra, et al.. (2023). Hybrid Explainable Intrusion Detection System: Global vs. Local Approach. 37–42. 1 indexed citations
3.
4.
Lin, Tsung-Nan, et al.. (2023). Zero Trust Architecture of Token Network. 3. 674–675. 4 indexed citations
5.
Lin, Tsung-Nan, et al.. (2023). RAIN: Risk Assessment Framework Based on an Interdependent-Input Propagation Network for a 5G Network. IEEE Access. 11. 54881–54896. 1 indexed citations
6.
Chang, Yu‐Wei & Tsung-Nan Lin. (2020). An Efficient Dynamic Rule Placement for Distributed Firewall in SDN. 1–6. 3 indexed citations
7.
Lin, Chun‐Yen, Ji-Yih Chen, Tsung-Nan Lin, et al.. (2011). IL28B SNP rs12979860 Is a Critical Predictor for On-Treatment and Sustained Virologic Response in Patients with Hepatitis C Virus Genotype-1 Infection. PLoS ONE. 6(3). e18322–e18322. 65 indexed citations
8.
Huang, Chien‐Hao, Chun‐Yen Lin, I‐Shyan Sheen, et al.. (2010). Recurrence of spontaneous bacterial peritonitis in cirrhotic patients non-prophylactically treated with norfloxacin: serum albumin as an easy but reliable predictive factor. Liver International. 31(2). 184–191. 28 indexed citations
9.
Ho, Yu‐Pin, Cheng‐Tang Chiu, I‐Shyan Sheen, et al.. (2010). Tumor necrosis factor–α and interleukin-10 contribute to immunoparalysis in patients with acute pancreatitis. Human Immunology. 72(1). 18–23. 16 indexed citations
10.
Lin, Tsung-Nan, et al.. (2008). Dynamic Search Algorithm in Unstructured Peer-to-Peer Networks. IEEE Transactions on Parallel and Distributed Systems. 20(5). 654–666. 32 indexed citations
11.
Fang, Shih‐Hau & Tsung-Nan Lin. (2008). Indoor Location System Based on Discriminant-Adaptive Neural Network in IEEE 802.11 Environments. IEEE Transactions on Neural Networks. 19(11). 1973–1978. 172 indexed citations
12.
Lin, Po-Chiang, et al.. (2006). Dynamic Search Algorithm in Unstructured Peer-to-Peer Networks.. Global Communications Conference. 1 indexed citations
13.
Wang, Chiapin & Tsung-Nan Lin. (2006). Improving 802.11 QoS in heterogeneous channels using an adaptive scheme. 1 indexed citations
14.
Ge, Zhen‐Ming & Tsung-Nan Lin. (2002). CHAOS, CHAOS CONTROL AND SYNCHRONIZATION OF ELECTRO-MECHANICAL GYROSTAT SYSTEM. Journal of Sound and Vibration. 259(3). 585–603. 55 indexed citations
15.
Giles, C. Lee, Tsung-Nan Lin, & B.G. Horne. (2002). Remembering the past: the role of embedded memory in recurrent neural network architectures. 8. 34–43. 7 indexed citations
16.
Lin, Tsung-Nan, et al.. (1998). A Color Consistency Algorithm Between Different Printers.. PICS. 409–411.
17.
Lin, Tsung-Nan. (1998). What to remember: How memory order affects the performance of NARX neural networks. 1 indexed citations
18.
Lin, Tsung-Nan, Bill G. Horne, & C. Lee Giles. (1998). How embedded memory in recurrent neural network architectures helps learning long-term temporal dependencies. Neural Networks. 11(5). 861–868. 76 indexed citations
19.
Giles, C. Lee, Tsung-Nan Lin, & Bill G. Horne. (1997). Remembering the past: The role of embedded memory in recurrent neural network architectures. 34–43. 1 indexed citations
20.
Lin, Tsung-Nan, B.G. Horne, Peter Tiňo, & C. Lee Giles. (1996). Learning long-term dependencies in NARX recurrent neural networks. IEEE Transactions on Neural Networks. 7(6). 1329–1338. 536 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Zhiqiang Wu Breakdown of academic impact, for papers by Stefan Werner Breakdown of academic impact, for papers by Feng Yin Breakdown of academic impact, for papers by P. Krishnamurthy Breakdown of academic impact, for papers by Fredrik Gunnarsson Breakdown of academic impact, for papers by Li Zhang Breakdown of academic impact, for papers by Cynthia A. Phillips Breakdown of academic impact, for papers by Gang Wang Breakdown of academic impact, for papers by Mohammad Khishe Breakdown of academic impact, for papers by Mokhtar Mohammadi
Rankless by CCL
2026