Hanting Chen

3.9k total citations · 1 hit paper
28 papers, 2.2k citations indexed

About

Hanting Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Hanting Chen has authored 28 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 4 papers in Molecular Biology. Recurrent topics in Hanting Chen's work include Advanced Neural Network Applications (8 papers), Advanced Image Processing Techniques (8 papers) and Image and Signal Denoising Methods (7 papers). Hanting Chen is often cited by papers focused on Advanced Neural Network Applications (8 papers), Advanced Image Processing Techniques (8 papers) and Image and Signal Denoising Methods (7 papers). Hanting Chen collaborates with scholars based in China, Sweden and Australia. Hanting Chen's co-authors include Yunhe Wang, Chunjing Xu, Chang Xu, Chao Xu, Yiping Deng, Tianyu Guo, Siwei Ma, Wen Gao, Zhenhua Liu and Boxin Shi and has published in prestigious journals such as IEEE Transactions on Image Processing, Biological and Pharmaceutical Bulletin and PeerJ.

In The Last Decade

Hanting Chen

27 papers receiving 2.1k citations

Hit Papers

align trajectories

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.

Pre-Trained Image Processing Transformer

2021 1.3k citations Hanting Chen, Yunhe Wang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hanting Chen China	15	1.6k	625	520	156	110	28	2.2k
Prabir Kumar Biswas India	23	1.5k 0.9×	488 0.8×	316 0.6×	100 0.6×	155 1.4×	155	2.3k
Kun Zhan China	23	1.7k 1.1×	751 1.2×	850 1.6×	105 0.7×	54 0.5×	77	2.4k
Yuantao Chen China	24	1.3k 0.8×	477 0.8×	318 0.6×	246 1.6×	100 0.9×	56	2.1k
Xiaoyi Dong China	11	1.0k 0.6×	252 0.4×	504 1.0×	161 1.0×	105 1.0×	26	1.6k
Weixin Ma China	14	2.9k 1.9×	758 1.2×	384 0.7×	87 0.6×	96 0.9×	25	3.6k
Yong Luo China	22	1.2k 0.7×	311 0.5×	1.0k 2.0×	104 0.7×	68 0.6×	116	2.1k
Wenjing Wang China	15	1.3k 0.8×	437 0.7×	276 0.5×	74 0.5×	31 0.3×	43	1.8k
Jun Sun China	22	1.1k 0.7×	420 0.7×	436 0.8×	299 1.9×	64 0.6×	203	2.0k
Piotr Koniusz Australia	25	1.6k 1.0×	370 0.6×	1.2k 2.3×	68 0.4×	192 1.7×	67	2.2k
Jiande Sun China	27	1.7k 1.1×	507 0.8×	472 0.9×	309 2.0×	132 1.2×	188	2.8k

Countries citing papers authored by Hanting Chen

Since Specialization

Citations

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

Fields of papers citing papers by Hanting Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanting Chen

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Chen, Hanting, Kaiwen Deng, Zhiwei Xie, et al.. (2025). Model quantization for computing-in-memory: a survey. Science China Information Sciences. 68(11). 1 indexed citations

2.

Li, Wei, et al.. (2025). LIPT: Latency-Aware Image Processing Transformer. IEEE Transactions on Image Processing. 34. 3056–3069.

3.

Zhang, Quan, Wei Li, Hanting Chen, et al.. (2024). Distilling Semantic Priors from SAM to Efficient Image Restoration Models. 25409–25419. 6 indexed citations

4.

Chen, Hanting, et al.. (2024). Image Processing GNN: Breaking Rigidity in Super-Resolution. 24108–24117. 13 indexed citations

5.

Tu, Zhijun, Jie Hu, Hanting Chen, & Yunhe Wang. (2023). Toward Accurate Post-Training Quantization for Image Super Resolution. 5856–5865. 9 indexed citations

6.

Huang, Xudong, Wei Li, Jie Hu, Hanting Chen, & Yunhe Wang. (2023). RefSR-NeRF: Towards High Fidelity and Super Resolution View Synthesis. 8244–8253. 20 indexed citations

7.

Li, Wenshuo, et al.. (2022). Brain-inspired Multilayer Perceptron with Spiking Neurons. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 773–783. 21 indexed citations

8.

Wang, Jiahao, et al.. (2021). Adder Attention for Vision Transformer. Neural Information Processing Systems. 34. 4 indexed citations

9.

Chen, Hanting, Yunhe Wang, Chunjing Xu, et al.. (2020). AdderNet: Do We Really Need Multiplications in Deep Learning?. 1465–1474. 118 indexed citations

10.

Chen, Hanting, Junjun Li, & Yang He. (2020). Overexpression of a novel E3 ubiquitin ligase gene from Coptis chinensis Franch enhances drought tolerance in transgenic tobacco. Zeitschrift für Naturforschung C. 75(11-12). 417–424. 5 indexed citations

11.

Han, Kai, Yunhe Wang, Hanting Chen, et al.. (2020). A Survey on Visual Transformer. arXiv (Cornell University). 150 indexed citations

12.

Chen, Hanting, Yunhe Wang, Yehui Tang, et al.. (2020). Frequency Domain Compact 3D Convolutional Neural Networks. 1638–1647. 17 indexed citations

13.

Chen, Hanting, Yunhe Wang, Chang Xu, et al.. (2019). Data-Free Learning of Student Networks. 3513–3521. 189 indexed citations

14.

Chen, Hanting, Yunhe Wang, Chang Xu, et al.. (2019). DAFL: Data-Free Learning of Student Networks. arXiv (Cornell University). 4 indexed citations

15.

Yang, Zhaohui, Yunhe Wang, Chuanjian Liu, et al.. (2019). LegoNet: Efficient Convolutional Neural Networks with Lego Filters. International Conference on Machine Learning. 7005–7014. 18 indexed citations

16.

Chen, Hanting, et al.. (2019). Crafting Efficient Neural Graph of Large Entropy. 2244–2250. 2 indexed citations

17.

Chen, Hanting, Cao Deng, Hu Nie, Gang Fan, & Yang He. (2017). Transcriptome analyses provide insights into the difference of alkaloids biosynthesis in the Chinese goldthread (Coptis chinensis Franch.) from different biotopes. PeerJ. 5. e3303–e3303. 15 indexed citations

18.

Yu, Si, Lijiao Wang, Zhixing Cao, et al.. (2017). Anticancer effect of Polyphyllin Ι in colorectal cancer cells through ROS-dependent autophagy and G2/M arrest mechanisms. Natural Product Research. 32(12). 1489–1492. 32 indexed citations

19.

Chen, Hanting, Gang Fan, & Yang He. (2017). Species evolution and quality evaluation of four Coptis herbal medicinal materials in Southwest China. 3 Biotech. 7(1). 62–62. 22 indexed citations

20.

Ye, Fan, et al.. (2014). Preparation, SERS and Catalytic Properties of Au Nano-network Based on Poly(conjugated linoleic acid)†. Gaodeng xuexiao huaxue xuebao. 35(9). 1933. 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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