Linnan Wang

548 total citations
7 papers, 195 citations indexed

About

Linnan Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Linnan Wang has authored 7 papers receiving a total of 195 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 2 papers in Computer Networks and Communications. Recurrent topics in Linnan Wang's work include Advanced Neural Network Applications (5 papers), Stochastic Gradient Optimization Techniques (2 papers) and Parallel Computing and Optimization Techniques (2 papers). Linnan Wang is often cited by papers focused on Advanced Neural Network Applications (5 papers), Stochastic Gradient Optimization Techniques (2 papers) and Parallel Computing and Optimization Techniques (2 papers). Linnan Wang collaborates with scholars based in United States, Norway and Israel. Linnan Wang's co-authors include Yi Yang, Renqiang Min, Srimat Chakradhar, Rodrigo Fonseca, Yuandong Tian, Yiyang Zhao, Teng Li, Saining Xie, Wei Wu and George Bosilca and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Neural Networks and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Linnan Wang

7 papers receiving 188 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Linnan Wang United States	7	104	80	29	28	26	7	195
Tomer Ashur Belgium	11	148 1.4×	60 0.8×	37 1.3×	42 1.5×	52 2.0×	20	222
Peiyan Dong United States	10	76 0.7×	69 0.9×	23 0.8×	17 0.6×	81 3.1×	25	214
Sherry Moore United States	3	193 1.9×	151 1.9×	16 0.6×	24 0.9×	22 0.8×	3	262
Yaohui Cai United States	4	117 1.1×	162 2.0×	21 0.7×	17 0.6×	37 1.4×	5	235
Guangyuan Wang China	7	59 0.6×	77 1.0×	7 0.2×	20 0.7×	21 0.8×	19	179
Chris Ying United States	4	189 1.8×	145 1.8×	10 0.3×	13 0.5×	33 1.3×	6	258
Hang Qi China	6	98 0.9×	70 0.9×	14 0.5×	49 1.8×	99 3.8×	16	230

Countries citing papers authored by Linnan Wang

Since Specialization

Citations

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

Fields of papers citing papers by Linnan Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linnan Wang

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

All Works

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7 of 7 papers shown

1.

Wang, Linnan, Saining Xie, Teng Li, Rodrigo Fonseca, & Yuandong Tian. (2021). Sample-Efficient Neural Architecture Search by Learning Actions for Monte Carlo Tree Search. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(9). 1–1. 33 indexed citations

2.

Wang, Linnan, et al.. (2020). Neural Architecture Search Using Deep Neural Networks and Monte Carlo Tree Search. Proceedings of the AAAI Conference on Artificial Intelligence. 34(6). 9983–9991. 33 indexed citations

3.

Wang, Linnan, Wei Wu, Junyu Zhang, et al.. (2020). FFT-based Gradient Sparsification for the Distributed Training of Deep Neural Networks. 113–124. 9 indexed citations

4.

Luo, Xi, et al.. (2018). ADAPT. 118–130. 14 indexed citations

5.

Li, Ang, Weifeng Liu, Linnan Wang, Kevin Barker, & Shuaiwen Leon Song. (2018). Warp-Consolidation. 53–64. 22 indexed citations

6.

Wang, Linnan, Yi Yang, Renqiang Min, & Srimat Chakradhar. (2017). Accelerating deep neural network training with inconsistent stochastic gradient descent. Neural Networks. 93. 219–229. 76 indexed citations

7.

Zhao, Yiyang, Linnan Wang, Wei Wu, et al.. (2017). Efficient Communications in Training Large Scale Neural Networks. 110–116. 8 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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