Tsung-Han Lin

6.1k total citations · 1 hit paper
75 papers, 1.7k citations indexed

About

Tsung-Han Lin is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Hardware and Architecture. According to data from OpenAlex, Tsung-Han Lin has authored 75 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Electrical and Electronic Engineering, 18 papers in Computer Networks and Communications and 10 papers in Hardware and Architecture. Recurrent topics in Tsung-Han Lin's work include Parallel Computing and Optimization Techniques (9 papers), Indoor and Outdoor Localization Technologies (8 papers) and Cloud Computing and Resource Management (6 papers). Tsung-Han Lin is often cited by papers focused on Parallel Computing and Optimization Techniques (9 papers), Indoor and Outdoor Localization Technologies (8 papers) and Cloud Computing and Resource Management (6 papers). Tsung-Han Lin collaborates with scholars based in Taiwan, United States and Japan. Tsung-Han Lin's co-authors include Jeff Schneider, Fang‐Chieh Chou, Henggang Cui, Thi Nguyen, Nemanja Djuric, Vladan Radosavljević, H. T. Kung, Tzu-Kuo Huang, Wei‐Fang Su and Cheng‐Si Tsao and has published in prestigious journals such as Journal of the American Chemical Society, ACS Nano and Energy & Environmental Science.

In The Last Decade

Tsung-Han Lin

73 papers receiving 1.6k citations

Hit Papers

Multimodal Trajectory Predictions for Autonomous Driving ... 2019 2026 2021 2023 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tsung-Han Lin Taiwan 19 702 530 343 300 252 75 1.7k
Ehsan Hashemi Canada 29 402 0.6× 1.0k 1.9× 267 0.8× 70 0.2× 97 0.4× 122 2.0k
Beshah Ayalew United States 22 686 1.0× 1.1k 2.1× 158 0.5× 48 0.2× 81 0.3× 145 1.7k
Zhenglin Liu China 19 953 1.4× 228 0.4× 142 0.4× 40 0.1× 501 2.0× 124 2.0k
Xinzhi Wang China 17 642 0.9× 522 1.0× 52 0.2× 36 0.1× 149 0.6× 73 1.3k
Qingyu Meng China 19 538 0.8× 160 0.3× 78 0.2× 40 0.1× 57 0.2× 69 1.3k
Jian Gao China 25 769 1.1× 169 0.3× 679 2.0× 127 0.4× 125 0.5× 190 3.0k
Ammar Armghan Saudi Arabia 33 1.5k 2.2× 178 0.3× 220 0.6× 34 0.1× 328 1.3× 237 3.2k
Dequn Li China 27 411 0.6× 320 0.6× 376 1.1× 538 1.8× 155 0.6× 91 2.5k
Hui Pang China 27 1.1k 1.5× 1.5k 2.8× 89 0.3× 33 0.1× 85 0.3× 132 2.2k
Baotong Li China 27 110 0.2× 122 0.2× 96 0.3× 39 0.1× 117 0.5× 117 2.0k

Countries citing papers authored by Tsung-Han Lin

Since Specialization
Citations

This map shows the geographic impact of Tsung-Han 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-Han 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-Han Lin more than expected).

Fields of papers citing papers by Tsung-Han Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Tsung-Han Lin. A scholar is included among the top collaborators of Tsung-Han 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-Han Lin. Tsung-Han 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.
Kuo, Chia‐Hung, Parushi Nargotra, Tsung-Han Lin, Chwen‐Jen Shieh, & Yung‐Chuan Liu. (2025). Ultrasonication-assisted lipase-catalyzed esterification of chlorogenic acid: A comparative study using fatty alcohol and acids in solvent and solvent-free conditions. Ultrasonics Sonochemistry. 113. 107218–107218. 2 indexed citations
3.
Cui, Henggang, Thi Nguyen, Fang‐Chieh Chou, et al.. (2019). Deep Kinematic Models for Physically Realistic Prediction of Vehicle Trajectories. arXiv (Cornell University). 7 indexed citations
4.
Djuric, Nemanja, Vladan Radosavljević, Henggang Cui, et al.. (2018). Short-term Motion Prediction of Traffic Actors for Autonomous Driving using Deep Convolutional Networks. arXiv (Cornell University). 20 indexed citations
5.
Djuric, Nemanja, Vladan Radosavljević, Henggang Cui, et al.. (2018). Motion Prediction of Traffic Actors for Autonomous Driving using Deep Convolutional Networks.. arXiv (Cornell University). 26 indexed citations
6.
Lin, Tsung-Han & Ping Tang. (2018). Sparse Dictionary Learning by Dynamical Neural Networks. International Conference on Learning Representations. 1 indexed citations
7.
Schwarzwälder, Martin, Tsung-Han Lin, Aaron J. Rossini, et al.. (2016). Monolayer Doping of Silicon through Grafting a Tailored Molecular Phosphorus Precursor onto Oxide-Passivated Silicon Surfaces. Chemistry of Materials. 28(11). 3634–3640. 43 indexed citations
8.
Chen, Hsing‐Yi & Tsung-Han Lin. (2015). Dual-band frequency selective surface for improving the transmission of Bluetooth and WLAN signals through an energy-saving glass. Journal of the Chinese Institute of Engineers. 39(3). 331–336. 3 indexed citations
9.
Neal, Benjamin P., Tsung-Han Lin, Tali Treibitz, et al.. (2015). Methods and measurement variance for field estimations of coral colony planar area using underwater photographs and semi-automated image segmentation. Environmental Monitoring and Assessment. 187(8). 496–496. 12 indexed citations
10.
Lin, Tsung-Han & H. T. Kung. (2014). Stable and Efficient Representation Learning with Nonnegativity Constraints. Journal of Machine Learning Research. 1323–1331. 19 indexed citations
11.
Liu, Chao‐Lin, Tsung-Han Lin, & Ruey‐Shin Juang. (2013). Optimization of recombinant hexaoligochitin-producing chitinase production with response surface methodology. International Journal of Biological Macromolecules. 62. 518–522. 19 indexed citations
12.
Chen, Shih‐Yuan, et al.. (2013). Effect of combination sequence of precursors on the structural and catalytic properties of Ti–SBA-15. RSC Advances. 3(31). 12604–12604. 7 indexed citations
14.
Huang, Yu‐Ching, Cheng‐Si Tsao, Chih-Min Chuang, et al.. (2012). Small- and Wide-Angle X-ray Scattering Characterization of Bulk Heterojunction Polymer Solar Cells with Different Fullerene Derivatives. The Journal of Physical Chemistry C. 116(18). 10238–10244. 56 indexed citations
15.
Nakajima, Tatsuo, et al.. (2011). Temporal and spatial isolation in a virtualization layer for multi-core processor based information appliances. Asia and South Pacific Design Automation Conference. 645–652. 3 indexed citations
16.
Lin, Tsung-Han, et al.. (2011). Hardware-Assisted Reliability Enhancement for Embedded Multi-core Virtualization Design. 101–105. 2 indexed citations
17.
Lin, Tsung-Han, et al.. (2009). XD: A Cross-Layer Designed Data Collection Mechanism for Mission-Critical WSNs in Urban Buildings. 29. 399–404. 4 indexed citations
18.
Lin, Tsung-Han, et al.. (2007). Double-via-driven standard cell library design. Design, Automation, and Test in Europe. 1212–1217. 7 indexed citations
19.
Chen, Jupeng, et al.. (2005). Emergency alarm system: prototype and experience. 73–76. 2 indexed citations
20.
Suo, J., et al.. (1998). Serodiagnosis of tuberculosis - A study comparing three specific mycobacterial antigens. Pneumologie. 52(5). 7 indexed citations

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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