Zheng Zhan

428 total citations
22 papers, 167 citations indexed

About

Zheng Zhan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Zheng Zhan has authored 22 papers receiving a total of 167 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Zheng Zhan's work include Advanced Neural Network Applications (10 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Advanced Memory and Neural Computing (4 papers). Zheng Zhan is often cited by papers focused on Advanced Neural Network Applications (10 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Advanced Memory and Neural Computing (4 papers). Zheng Zhan collaborates with scholars based in United States, Mexico and China. Zheng Zhan's co-authors include Yanzhi Wang, Yifan Gong, Bin Ren, Wei Niu, Xue Lin, Pu Zhao, Geng Yuan, Tianyun Zhang, Kaushik Chowdhury and Zifeng Wang and has published in prestigious journals such as SIAM Journal on Numerical Analysis, IEEE Transactions on Mobile Computing and Engineering Applications of Artificial Intelligence.

In The Last Decade

Zheng Zhan

21 papers receiving 165 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zheng Zhan United States	7	83	66	43	28	18	22	167
Hang Qi China	6	70 0.8×	98 1.5×	99 2.3×	49 1.8×	13 0.7×	16	230
Yury Nahshan Israel	3	185 2.2×	127 1.9×	60 1.4×	17 0.6×	14 0.8×	3	235
Prithwijit Guha India	9	112 1.3×	81 1.2×	24 0.6×	18 0.6×	68 3.8×	57	213
Zhimin Tang China	5	54 0.7×	33 0.5×	19 0.4×	39 1.4×	15 0.8×	13	136
Wenshuo Li China	7	129 1.6×	113 1.7×	114 2.7×	15 0.5×	10 0.6×	10	222
Jamil Al-Azzeh Jordan	7	121 1.5×	22 0.3×	17 0.4×	21 0.8×	24 1.3×	31	210
Xinyi Xu China	9	72 0.9×	72 1.1×	32 0.7×	12 0.4×	10 0.6×	17	175
Chengzhi Mao United States	8	64 0.8×	104 1.6×	33 0.8×	12 0.4×	25 1.4×	16	171
Xinpeng Li China	7	121 1.5×	45 0.7×	12 0.3×	31 1.1×	7 0.4×	30	191

Countries citing papers authored by Zheng Zhan

Since Specialization

Citations

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

Fields of papers citing papers by Zheng Zhan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zheng Zhan

This figure shows the co-authorship network connecting the top 25 collaborators of Zheng Zhan. A scholar is included among the top collaborators of Zheng Zhan 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 Zheng Zhan. Zheng Zhan 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

Gong, Yifan, Zheng Zhan, Pu Zhao, et al.. (2024). LOTUS: learning-based online thermal and latency variation management for two-stage detectors on edge devices. 1–6. 1 indexed citations

Zhan, Zheng, et al.. (2024). A novel damage identification algorithm by combining the boundary element method and a series connection neural network. Engineering Applications of Artificial Intelligence. 133. 108010–108010. 5 indexed citations

Zhan, Zheng, Zhenglun Kong, Congguang Yang, et al.. (2024). Rethinking Token Reduction for State Space Models. 1686–1697. 1 indexed citations

Tong, Qi, et al.. (2023). Lung Cancer Risk Analysis and Prediction Using Machine Learning Techniques. Highlights in Science Engineering and Technology. 39. 195–200.

Gong, Yifan, Zheng Zhan, Geng Yuan, et al.. (2023). MOC: Multi-Objective Mobile CPU-GPU Co-Optimization for Power-Efficient DNN Inference. 1–10. 3 indexed citations

Zhan, Zheng, et al.. (2023). On the Error Rate of Importance Sampling with Randomized Quasi-Monte Carlo. SIAM Journal on Numerical Analysis. 61(2). 515–538. 5 indexed citations

Gong, Yifan, Geng Yuan, Zheng Zhan, et al.. (2022). Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration. ACM Transactions on Design Automation of Electronic Systems. 27(5). 1–26. 5 indexed citations

Zhan, Zheng, et al.. (2022). Analysis of the thermal process of hot oil pipeline shutdown and restart. Journal of Physics Conference Series. 2208(1). 12004–12004. 1 indexed citations

Gong, Yifan, Zheng Zhan, Pu Zhao, et al.. (2022). All-in-One. 1–9. 3 indexed citations

10.

Ma, Xiaolong, Geng Yuan, Zhengang Li, et al.. (2022). BLCR: Towards Real-time DNN Execution with Block-based Reweighted Pruning. 1–8. 5 indexed citations

11.

Jian, Tong, Yifan Gong, Zheng Zhan, et al.. (2021). Radio Frequency Fingerprinting on the Edge. IEEE Transactions on Mobile Computing. 21(11). 4078–4093. 42 indexed citations

12.

Zhang, Tianyun, Xiaolong Ma, Zheng Zhan, et al.. (2021). A Unified DNN Weight Pruning Framework Using Reweighted Optimization Methods. 493–498. 14 indexed citations

13.

Li, Zhengang, Geng Yuan, Wei Niu, et al.. (2021). NPAS: A Compiler-aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration. 14250–14261. 15 indexed citations

14.

Zhan, Zheng, Yifan Gong, Pu Zhao, et al.. (2021). Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 4801–4811. 28 indexed citations

15.

Zhan, Zheng, Yifan Gong, Zhengang Li, et al.. (2020). A Privacy-Preserving DNN Pruning and Mobile Acceleration Framework.. arXiv (Cornell University). 2 indexed citations

16.

Li, Zhengang, Geng Yuan, Wei Niu, et al.. (2020). 6.7ms on Mobile with over 78% ImageNet Accuracy: Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration.. arXiv (Cornell University). 1 indexed citations

17.

Gong, Yifan, Zheng Zhan, Wei Niu, et al.. (2020). A Privacy-Preserving-Oriented DNN Pruning and Mobile Acceleration Framework. 119–124. 13 indexed citations

18.

Niu, Wei, Pu Zhao, Zheng Zhan, et al.. (2020). Towards Real-Time DNN Inference on Mobile Platforms with Model Pruning and Compiler Optimization. 5306–5308. 7 indexed citations

19.

Wang, Yanzhi, Zheng Zhan, Liang Zhao, et al.. (2019). Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 5369–5376. 7 indexed citations

20.

Zhan, Zheng. (2012). Effects of Three Heavy Metals on Formation of Aerobic Granular Sludge and Related Population Control. Sichuan Nongye Daxue xuebao. 1 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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