Tong Lin

1.5k total citations · 1 hit paper
89 papers, 996 citations indexed

About

Tong Lin is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Hardware and Architecture. According to data from OpenAlex, Tong Lin has authored 89 papers receiving a total of 996 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Electrical and Electronic Engineering, 26 papers in Computer Vision and Pattern Recognition and 17 papers in Hardware and Architecture. Recurrent topics in Tong Lin's work include Integrated Circuits and Semiconductor Failure Analysis (20 papers), Low-power high-performance VLSI design (11 papers) and Industrial Vision Systems and Defect Detection (10 papers). Tong Lin is often cited by papers focused on Integrated Circuits and Semiconductor Failure Analysis (20 papers), Low-power high-performance VLSI design (11 papers) and Industrial Vision Systems and Defect Detection (10 papers). Tong Lin collaborates with scholars based in China, Singapore and United States. Tong Lin's co-authors include Hongbin Zha, Hao Zhang, Bah‐Hwee Gwee, Xiaoli Tang, Steve Jiang, Joseph S. Chang, Kwen‐Siong Chong, Nuno Vasconcelos, Laura Cerviño and Gérard Lachapelle and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Optics Express.

In The Last Decade

Tong Lin

78 papers receiving 957 citations

Hit Papers

Riemannian Manifold Learning 2008 2026 2014 2020 2008 50 100 150 200 250
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. Riemannian Manifold Learning
    2008 290 citations Tong Lin, Hongbin Zha IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers

Tong Lin
Jianmin Li China
Zhonghai Wang United States
Won‐Ki Jeong South Korea
William Plishker United States
Morteza Mardani United States
Steven G. Parker United States
Haotian Tang United States
Lei Gong China
Volodymyr Kindratenko United States
Jianmin Li China
Tong Lin
Citations per year, relative to Tong Lin Tong Lin (= 1×) peers Jianmin Li

Countries citing papers authored by Tong Lin

Since Specialization
Citations

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

Fields of papers citing papers by Tong Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tong Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Tong Lin. A scholar is included among the top collaborators of Tong 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 Tong Lin. Tong 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.
Lin, Tong, et al.. (2025). Unsupervised domain adaptation for IC image segmentation with structural constraint and pseudo supervision. Microelectronic Engineering. 300. 112373–112373. 1 indexed citations
2.
Han, Yan, Yue-Ping Yin, Bang-Yong Zhu, et al.. (2025). An artificial intelligence tool that may assist with interpretation of rapid plasma reagin test for syphilis: Development and on-site evaluation. Journal of Infection. 90(4). 106454–106454.
3.
4.
Fang, Shijie, et al.. (2024). BaCon: Boosting Imbalanced Semi-supervised Learning via Balanced Feature-Level Contrastive Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 38(11). 11970–11978. 2 indexed citations
5.
Lin, Tong, et al.. (2024). Tab2Text - A framework for deep learning with tabular data. 12925–12935.
6.
Tian, Guangjin, et al.. (2024). Spatial-temporal characteristics and transfer modes of rural homestead in China. Habitat International. 155. 103230–103230. 8 indexed citations
7.
8.
Liu, Yucong, Shixing Yu, & Tong Lin. (2023). Hessian regularization of deep neural networks: A novel approach based on stochastic estimators of Hessian trace. Neurocomputing. 536. 13–20. 5 indexed citations
9.
Lin, Tong, et al.. (2023). Unsupervised graph-based image clustering for pretext distribution learning in IC assurance. Microelectronics Reliability. 148. 115160–115160. 1 indexed citations
10.
11.
Lin, Tong, et al.. (2021). Deep Learning Based Classification of Radar Spectral Maps. International Journal of Electrical and Electronic Engineering & Telecommunications. 99–104. 7 indexed citations
12.
Lin, Tong, et al.. (2021). ASIC Circuit Netlist Recognition Using Graph Neural Network. 1–5. 9 indexed citations
13.
Han, Xiao, et al.. (2020). A Dense-Gated U-Net for Brain Lesion Segmentation. 104–107. 3 indexed citations
14.
Lin, Tong, et al.. (2019). MarginGAN: Adversarial Training in Semi-Supervised Learning. Neural Information Processing Systems. 32. 10440–10449. 16 indexed citations
15.
16.
Lin, Tong, et al.. (2015). Supervised learning via Euler's Elastica models. Journal of Machine Learning Research. 16(1). 3637–3686. 4 indexed citations
17.
Lin, Tong, et al.. (2013). Implementation of Matrix In-place Transpose for Real-time SAR Imaging System. Jisuanji gongcheng. 1 indexed citations
18.
Lin, Tong, et al.. (2012). Incoherent dictionary learning for sparse representation. 20 indexed citations
19.
Lin, Tong & Hongbin Zha. (2008). Riemannian Manifold Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 30(5). 796–809. 290 indexed citations breakdown →
20.
Lin, Tong. (2002). Shot Content Analysis for Video Retrieval Applications. 4 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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