Yujun Lin

5.8k total citations
28 papers, 1.7k citations indexed

About

Yujun Lin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Yujun Lin has authored 28 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Yujun Lin's work include Advanced Neural Network Applications (11 papers), Toxic Organic Pollutants Impact (6 papers) and Effects and risks of endocrine disrupting chemicals (5 papers). Yujun Lin is often cited by papers focused on Advanced Neural Network Applications (11 papers), Toxic Organic Pollutants Impact (6 papers) and Effects and risks of endocrine disrupting chemicals (5 papers). Yujun Lin collaborates with scholars based in China, United States and Taiwan. Yujun Lin's co-authors include Song Han, Kunyan Cui, Feng Zeng, Min Liu, Zhiyong Xie, Zunxiang Zeng, Lina Wu, Danling Luo, William J. Dally and Huizi Mao and has published in prestigious journals such as Journal of Hazardous Materials, Environmental Pollution and International Journal of Hydrogen Energy.

In The Last Decade

Yujun Lin

27 papers receiving 1.7k citations

Peers

Yujun Lin

HTM

POLLU

CVPR

EEE

Ying Cai China

Sayan Kumar Ray New Zealand

Hongjie Jia China

Sejin Lee South Korea

Saverio De Vito Italy

Siqi Wang China

Martin Hell Sweden

Xiaolong Wang China

Qianqian Li China

Fuliang Li China

Ying Cai China

Yujun Lin

183 ×0.3

HTM

136 ×0.3

POLLU

180 ×0.4

172 ×0.5

CVPR

235 ×0.8

EEE

Citations per year, relative to Yujun Lin Yujun Lin (= 1×) peers Ying Cai

Countries citing papers authored by Yujun Lin

Since Specialization

Citations

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

Fields of papers citing papers by Yujun Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yujun Lin

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

All Works

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20 of 20 papers shown

Li, Shiue-Lin, Yujun Lin, Yusheng Zhang, et al.. (2023). Towards sustainable H2 evolution by using an algal-electro-photosynthetic process: The mediator selection alternates the electron sources for Chlorella sorokiniana SU-1. International Journal of Hydrogen Energy. 48(46). 17409–17419. 3 indexed citations

Cai, Han, Ji Lin, Yujun Lin, et al.. (2022). Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications. ACM Transactions on Design Automation of Electronic Systems. 27(3). 1–50. 85 indexed citations

Zhu, Ligeng, et al.. (2021). Delayed Gradient Averaging: Tolerate the Communication Latency for Federated Learning. Neural Information Processing Systems. 34. 16 indexed citations

Lin, Yujun, et al.. (2021). NAAS: Neural Accelerator Architecture Search. 1051–1056. 41 indexed citations

Cai, Yi, Yujun Lin, Lixue Xia, et al.. (2020). Long Live TIME: Improving Lifetime and Security for NVM-Based Training-in-Memory Systems. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 39(12). 4707–4720. 7 indexed citations

Lin, Ji, Weiming Chen, Yujun Lin, et al.. (2020). MCUNet: Tiny Deep Learning on IoT Devices. arXiv (Cornell University). 33. 11711–11722. 8 indexed citations

Wang, Kuan, Han Cai, Ji Lin, et al.. (2020). APQ: Joint Search for Network Architecture, Pruning and Quantization Policy. 2075–2084. 117 indexed citations

Liu, Zhijian, Haotian Tang, Yujun Lin, & Song Han. (2019). Point-Voxel CNN for Efficient 3D Deep Learning. Neural Information Processing Systems. 32. 963–973. 27 indexed citations

Zhu, Zhenhua, Hanbo Sun, Yujun Lin, et al.. (2019). A Configurable Multi-Precision CNN Computing Framework Based on Single Bit RRAM. 1–6. 67 indexed citations

10.

Cai, Han, Ji Lin, Yujun Lin, et al.. (2019). AutoML for Architecting Efficient and Specialized Neural Networks. IEEE Micro. 40(1). 75–82. 15 indexed citations

11.

Wang, Kuan, Zhijian Liu, Yujun Lin, Ji Lin, & Song Han. (2018). HAQ: Hardware-Aware Automated Quantization. arXiv (Cornell University). 24 indexed citations

12.

Lin, Yujun, Song Han, Huizi Mao, Yu Wang, & William J. Dally. (2018). Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training. arXiv (Cornell University). 225 indexed citations

13.

Cai, Yi, Yujun Lin, Lixue Xia, et al.. (2018). Long Live TIME: Improving Lifetime for Training-In-Memory Engines by Structured Gradient Sparsification. DSpace@MIT (Massachusetts Institute of Technology). 1–6. 7 indexed citations

14.

Xu, Fengli, Yujun Lin, Jiaxin Huang, et al.. (2016). Big Data Driven Mobile Traffic Understanding and Forecasting: A Time Series Approach. IEEE Transactions on Services Computing. 9(5). 796–805. 179 indexed citations

15.

Su, Yu‐Jih, Tien‐Tsai Cheng, Chung‐Jen Chen, et al.. (2013). The association among leukocyte apoptosis, autoantibodies and disease severity in systemic lupus erythematosus. Journal of Translational Medicine. 11(1). 261–261. 16 indexed citations

16.

Zeng, Feng, Jiaxin Wen, Kunyan Cui, et al.. (2009). Seasonal distribution of phthalate esters in surface water of the urban lakes in the subtropical city, Guangzhou, China. Journal of Hazardous Materials. 169(1-3). 719–725. 102 indexed citations

17.

Zeng, Feng, Yujun Lin, Kunyan Cui, et al.. (2009). Atmospheric deposition of phthalate esters in a subtropical city. Atmospheric Environment. 44(6). 834–840. 64 indexed citations

18.

Zeng, Feng, Kunyan Cui, Zhiyong Xie, et al.. (2008). Distribution of phthalate esters in urban soils of subtropical city, Guangzhou, China. Journal of Hazardous Materials. 164(2-3). 1171–1178. 202 indexed citations

19.

Zeng, Feng, Kunyan Cui, Zhiyong Xie, et al.. (2008). Phthalate esters (PAEs): Emerging organic contaminants in agricultural soils in peri-urban areas around Guangzhou, China. Environmental Pollution. 156(2). 425–434. 230 indexed citations

20.

Zeng, Feng, Kunyan Cui, Zhiyong Xie, et al.. (2007). Occurrence of phthalate esters in water and sediment of urban lakes in a subtropical city, Guangzhou, South China. Environment International. 34(3). 372–380. 214 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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