Sheng Lin

3.5k total citations · 1 hit paper
85 papers, 2.2k citations indexed

About

Sheng Lin is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sheng Lin has authored 85 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Electrical and Electronic Engineering, 22 papers in Artificial Intelligence and 19 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sheng Lin's work include Remote-Sensing Image Classification (15 papers), Low-power high-performance VLSI design (12 papers) and Advanced Neural Network Applications (11 papers). Sheng Lin is often cited by papers focused on Remote-Sensing Image Classification (15 papers), Low-power high-performance VLSI design (12 papers) and Advanced Neural Network Applications (11 papers). Sheng Lin collaborates with scholars based in China, United States and Mexico. Sheng Lin's co-authors include Fabrizio Lombardi, Yong-Bin Kim, Min Zhang, Xi Cheng, Hai Wang, Yanzhi Wang, Xiaoguang Liu, Gang Wang, Wei Wang and Xiwen Yao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Sheng Lin

77 papers receiving 2.1k citations

Hit Papers

CNTFET-Based Design of Ternary Logic Gates and Arithmetic... 2009 2026 2014 2020 2009 100 200 300 400
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. CNTFET-Based Design of Ternary Logic Gates and Arithmetic Circuits
    2009 463 citations Sheng Lin et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sheng Lin China 26 1.3k 356 345 338 312 85 2.2k
Yuzhe Ma Hong Kong 21 1.0k 0.7× 365 1.0× 125 0.4× 317 0.9× 120 0.4× 98 1.7k
Ming Liu China 23 694 0.5× 716 2.0× 72 0.2× 413 1.2× 108 0.3× 168 2.3k
Jie Liang Canada 26 911 0.7× 181 0.5× 105 0.3× 1.7k 5.1× 327 1.0× 236 2.9k
Haoyu Yang Hong Kong 21 859 0.6× 304 0.9× 67 0.2× 254 0.8× 106 0.3× 76 1.4k
Yi Liu China 21 384 0.3× 492 1.4× 113 0.3× 539 1.6× 241 0.8× 172 1.9k
Hui Xu China 22 1.0k 0.8× 477 1.3× 70 0.2× 163 0.5× 33 0.1× 205 1.9k
Trio Adiono Indonesia 18 1.1k 0.8× 146 0.4× 115 0.3× 244 0.7× 58 0.2× 289 1.6k
Bo Yuan United States 29 1.2k 0.9× 1.2k 3.4× 60 0.2× 520 1.5× 34 0.1× 147 2.6k
Shahram Latifi United States 18 285 0.2× 203 0.6× 47 0.1× 214 0.6× 88 0.3× 126 1.1k
Ang Li United States 26 467 0.3× 823 2.3× 59 0.2× 528 1.6× 29 0.1× 155 2.0k

Countries citing papers authored by Sheng Lin

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng Lin. A scholar is included among the top collaborators of Sheng 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 Sheng Lin. Sheng 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, Sheng, et al.. (2025). Can comments and dialogues make sense? The effect of two-way interactions on sales and followers in live streaming commerce. Decision Support Systems. 193. 114451–114451. 1 indexed citations
2.
Ren, Xiaomin, Wenwen Yang, Liping Ye, et al.. (2025). Enhancing soil carbon sequestration in jasmine gardens: Differential effects of straw and biochar on mineral-associated and particulate organic carbon. Journal of Environmental Management. 389. 126282–126282.
3.
Zhou, Zhiyu, et al.. (2025). Enhancing Underwater Image Quality: A Lightweight GAN Approach with MobileNetV4 and Multi-scale Discrimination. Arabian Journal for Science and Engineering.
4.
Zhang, Hu, et al.. (2025). Modulation recognition method based on multimodal features. SHILAP Revista de lepidopterología. 6. 1 indexed citations
5.
Zhao, Junping, et al.. (2025). Fractional deposition: Enhancing the bond strength between diamond-like carbon with high sp3/sp2 ratio and alumina. Diamond and Related Materials. 155. 112345–112345.
6.
Cheng, Xi, et al.. (2024). Deep Feature Aggregation Network for Hyperspectral Anomaly Detection. IEEE Transactions on Instrumentation and Measurement. 73. 1–16. 43 indexed citations
7.
Zhang, Min, et al.. (2023). Arbitrary-Oriented Ellipse Detector for Ship Detection in Remote Sensing Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 7151–7162. 13 indexed citations
8.
Cheng, Xi, et al.. (2023). Two-Stream Isolation Forest Based on Deep Features for Hyperspectral Anomaly Detection. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 39 indexed citations
9.
Lin, Sheng, et al.. (2023). Dual-GAN Complementary Learning for Real-World Image Denoising. IEEE Sensors Journal. 24(1). 355–366. 8 indexed citations
10.
Zhang, Hu, et al.. (2023). A combination network of CNN and transformer for interference identification. Frontiers in Computational Neuroscience. 17. 1309694–1309694. 4 indexed citations
11.
Lin, Sheng, et al.. (2023). Hyperspectral Anomaly Detection Using Spatial–Spectral-Based Union Dictionary and Improved Saliency Weight. Remote Sensing. 15(14). 3609–3609. 7 indexed citations
12.
Cheng, Xi, et al.. (2022). Multiscale Superpixel Guided Discriminative Forest for Hyperspectral Anomaly Detection. Remote Sensing. 14(19). 4828–4828. 13 indexed citations
13.
Han, Runze, Peng Huang, Hong Hu, et al.. (2022). Floating Gate Transistor‐Based Accurate Digital In‐Memory Computing for Deep Neural Networks. SHILAP Revista de lepidopterología. 4(12). 4 indexed citations
14.
Lin, Sheng, et al.. (2022). Dual Collaborative Constraints Regularized Low-Rank and Sparse Representation via Robust Dictionaries Construction for Hyperspectral Anomaly Detection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 2009–2024. 34 indexed citations
15.
Lin, Sheng, et al.. (2022). Hyperspectral Anomaly Detection via Sparse Representation and Collaborative Representation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 946–961. 35 indexed citations
16.
Chen, Zhiyu, Zhanghao Yu, Qing Jin, et al.. (2021). CAP-RAM: A Charge-Domain In-Memory Computing 6T-SRAM for Accurate and Precision-Programmable CNN Inference. IEEE Journal of Solid-State Circuits. 56(6). 1924–1935. 89 indexed citations
17.
Liu, Changlu, Peiyan Dong, Yan‐Ming Zhang, et al.. (2021). NS-FDN: Near-Sensor Processing Architecture of Feature-Configurable Distributed Network for Beyond-Real-Time Always-on Keyword Spotting. IEEE Transactions on Circuits and Systems I Regular Papers. 68(5). 1892–1905. 23 indexed citations
18.
Ma, Xiaolong, Sheng Lin, Shaokai Ye, et al.. (2021). Non-Structured DNN Weight Pruning—Is It Beneficial in Any Platform?. IEEE Transactions on Neural Networks and Learning Systems. 33(9). 4930–4944. 55 indexed citations
19.
Bai, Xiaoxia, et al.. (2019). Study on the emission characteristics and source profiles of volatile organic compounds for typical cement plants in China. AGU Fall Meeting Abstracts. 2019. 1 indexed citations
20.

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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