Wenkai Han

830 total citations
19 papers, 446 citations indexed

About

Wenkai Han is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Wenkai Han has authored 19 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Artificial Intelligence. Recurrent topics in Wenkai Han's work include Single-cell and spatial transcriptomics (3 papers), Smart Agriculture and AI (3 papers) and Genomics and Phylogenetic Studies (2 papers). Wenkai Han is often cited by papers focused on Single-cell and spatial transcriptomics (3 papers), Smart Agriculture and AI (3 papers) and Genomics and Phylogenetic Studies (2 papers). Wenkai Han collaborates with scholars based in China, Saudi Arabia and United States. Wenkai Han's co-authors include Chenglu Wen, Xin Li, Cheng Wang, Xin Gao, Hai Wu, Qing Li, Juexiao Zhou, Yu Li, Zhongxiao Li and Xiaopeng Xu and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and The American Journal of Human Genetics.

In The Last Decade

Wenkai Han

17 papers receiving 440 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wenkai Han China 11 168 114 66 60 60 19 446
Shitong Luo China 7 72 0.4× 216 1.9× 221 3.3× 37 0.6× 62 1.0× 9 476
Yiming Xie China 6 71 0.4× 268 2.4× 62 0.9× 8 0.1× 62 1.0× 11 406
Shuailin Li United Kingdom 8 177 1.1× 226 2.0× 9 0.1× 32 0.5× 13 0.2× 21 496
Chunyang Fu China 9 70 0.4× 91 0.8× 90 1.4× 7 0.1× 18 0.3× 18 360
Shanxin Zhang China 10 72 0.4× 45 0.4× 12 0.2× 33 0.6× 39 0.7× 37 263
Zhiheng Li China 11 57 0.3× 220 1.9× 13 0.2× 121 2.0× 15 0.3× 30 431
Chih-Ming Hsu Taiwan 10 18 0.1× 87 0.8× 10 0.2× 39 0.7× 16 0.3× 41 325
Yanchao Liu China 14 431 2.6× 27 0.2× 10 0.2× 76 1.3× 8 0.1× 36 753

Countries citing papers authored by Wenkai Han

Since Specialization
Citations

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

Fields of papers citing papers by Wenkai Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenkai Han

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

All Works

19 of 19 papers shown
1.
Han, Wenkai, David Gómez-Cabrero, Jesper Tegnér, et al.. (2025). Benchmarking cross-species single-cell RNA-seq data integration methods: towards a cell type tree of life. Nucleic Acids Research. 53(1). 3 indexed citations
2.
Guo, Zhengwei, et al.. (2025). Dynamic Task Planning for Multi-Arm Apple-Harvesting Robots Using LSTM-PPO Reinforcement Learning Algorithm. Agriculture. 15(6). 588–588. 5 indexed citations
3.
Han, Wenkai, Tao Li, Zhengwei Guo, et al.. (2025). LGVM-YOLOv8n: A Lightweight Apple Instance Segmentation Model for Standard Orchard Environments. Agriculture. 15(12). 1238–1238.
4.
Wu, Tao, et al.. (2024). SGW-YOLOv8n: An Improved YOLOv8n-Based Model for Apple Detection and Segmentation in Complex Orchard Environments. Agriculture. 14(11). 1958–1958. 10 indexed citations
5.
Li, Haoyang, Yingxin Lin, Wenjia He, et al.. (2024). SANTO: a coarse-to-fine alignment and stitching method for spatial omics. Nature Communications. 15(1). 6048–6048. 6 indexed citations
6.
Zhou, Juexiao, Siyuan Chen, Yulian Wu, et al.. (2024). PPML-Omics: A privacy-preserving federated machine learning method protects patients’ privacy in omic data. Science Advances. 10(5). eadh8601–eadh8601. 20 indexed citations
7.
Wang, Yu, Wenkai Han, Chunming Zhang, et al.. (2024). DMSS: An Attention-Based Deep Learning Model for High-Quality Mass Spectrometry Prediction. Big Data Mining and Analytics. 7(3). 577–589. 4 indexed citations
8.
Miao, Zhonghua, et al.. (2024). Design of and Experiment with a Dual-Arm Apple Harvesting Robot System. Horticulturae. 10(12). 1268–1268. 11 indexed citations
9.
Zhou, Juexiao, Longxi Zhou, Di Wang, et al.. (2023). Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI. Computers in Biology and Medicine. 169. 107861–107861. 16 indexed citations
10.
Han, Wenkai, Juexiao Zhou, Zhongxiao Li, et al.. (2023). Predicting the antigenic evolution of SARS-COV-2 with deep learning. Nature Communications. 14(1). 3478–3478. 31 indexed citations
11.
Li, Zhongxiao, et al.. (2023). Applications of deep learning in understanding gene regulation. Cell Reports Methods. 3(1). 100384–100384. 29 indexed citations
12.
Han, Wenkai, et al.. (2022). BLNet: Bidirectional learning network for point clouds. Computational Visual Media. 8(4). 585–596. 5 indexed citations
13.
Han, Wenkai, Yuqi Cheng, Jiayang Chen, et al.. (2022). Self-supervised contrastive learning for integrative single cell RNA-seq data analysis. Briefings in Bioinformatics. 23(5). 49 indexed citations
14.
Wang, Chunjie, et al.. (2022). Multiobjective optimization design of high frequency transformer based on NSGA-II algorithm. 2022 IEEE International Conference on Mechatronics and Automation (ICMA). 664–669.
15.
Zhou, Juexiao, Bin Zhang, Haoyang Li, et al.. (2022). Annotating TSSs in Multiple Cell Types Based on DNA Sequence and RNA-Seq Data via DeeReCT-TSS. Genomics Proteomics & Bioinformatics. 20(5). 959–973. 5 indexed citations
16.
Wu, Hai, Wenkai Han, Chenglu Wen, Xin Li, & Cheng Wang. (2021). 3D Multi-Object Tracking in Point Clouds Based on Prediction Confidence-Guided Data Association. IEEE Transactions on Intelligent Transportation Systems. 23(6). 5668–5677. 102 indexed citations
17.
Li, Yu, Zeling Xu, Wenkai Han, et al.. (2021). HMD-ARG: hierarchical multi-task deep learning for annotating antibiotic resistance genes. Microbiome. 9(1). 40–40. 70 indexed citations
18.
Alzahrani, Fatema, Hiroyuki Kuwahara, Mohammed Al‐Owain, et al.. (2020). Recessive, Deleterious Variants in SMG8 Expand the Role of Nonsense-Mediated Decay in Developmental Disorders in Humans. The American Journal of Human Genetics. 107(6). 1178–1185. 19 indexed citations
19.
Han, Wenkai, Chenglu Wen, Cheng Wang, Xin Li, & Qing Li. (2020). Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modeling. Proceedings of the AAAI Conference on Artificial Intelligence. 34(7). 10925–10932. 61 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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