Renmin Han

1.1k total citations · 1 hit paper
45 papers, 605 citations indexed

About

Renmin Han is a scholar working on Structural Biology, Molecular Biology and Surfaces, Coatings and Films. According to data from OpenAlex, Renmin Han has authored 45 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Structural Biology, 19 papers in Molecular Biology and 18 papers in Surfaces, Coatings and Films. Recurrent topics in Renmin Han's work include Advanced Electron Microscopy Techniques and Applications (23 papers), Electron and X-Ray Spectroscopy Techniques (18 papers) and Genomics and Phylogenetic Studies (8 papers). Renmin Han is often cited by papers focused on Advanced Electron Microscopy Techniques and Applications (23 papers), Electron and X-Ray Spectroscopy Techniques (18 papers) and Genomics and Phylogenetic Studies (8 papers). Renmin Han collaborates with scholars based in China, Saudi Arabia and United States. Renmin Han's co-authors include Fa Zhang, Xin Gao, Fei Sun, Yu Li, Sheng Wang, Xiaogang Li, Chenjie Feng, Jianyi Yang, Wenkai Wang and Zhenling Peng and has published in prestigious journals such as Nature Communications, Bioinformatics and Journal of Computational Physics.

In The Last Decade

Renmin Han

40 papers receiving 592 citations

Hit Papers

trRosettaRNA: automated prediction of RNA 3D structure wi... 2023 2026 2024 2025 2023 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Renmin Han China 14 299 167 111 60 53 45 605
Tim-Oliver Buchholz Germany 5 137 0.5× 115 0.7× 66 0.6× 162 2.7× 52 1.0× 5 905
Xiaohua Wan China 12 116 0.4× 177 1.1× 119 1.1× 33 0.6× 29 0.5× 59 427
Bryant Gipson United States 13 294 1.0× 214 1.3× 86 0.8× 22 0.4× 76 1.4× 21 788
David Maluenda Spain 13 139 0.5× 132 0.8× 98 0.9× 20 0.3× 21 0.4× 31 540
Elias Nehme Israel 8 117 0.4× 106 0.6× 12 0.1× 372 6.2× 35 0.7× 19 659
Jacob Hinkle United States 15 51 0.2× 32 0.2× 20 0.2× 33 0.6× 115 2.2× 47 578
Thomas A Caswell United States 11 53 0.2× 26 0.2× 49 0.4× 36 0.6× 12 0.2× 35 483
David Günther Germany 10 66 0.2× 67 0.4× 28 0.3× 101 1.7× 14 0.3× 17 444
Daniel Allan United States 12 106 0.4× 12 0.1× 30 0.3× 32 0.5× 11 0.2× 24 500
Esin B. Sözer United States 14 87 0.3× 45 0.3× 16 0.1× 24 0.4× 5 0.1× 28 753

Countries citing papers authored by Renmin Han

Since Specialization
Citations

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

Fields of papers citing papers by Renmin Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renmin Han

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

All Works

20 of 20 papers shown
1.
Han, Renmin, Junchen Wang, Yi Zhang, et al.. (2025). Automatic segmentation of the midfacial bone surface from ultrasound images using deep learning methods. International Journal of Oral and Maxillofacial Surgery. 54(7). 663–669.
2.
Feng, Chenjie, et al.. (2024). FP-Zernike: An Open-source Structural Database Construction Toolkit for Fast Structure Retrieval. Genomics Proteomics & Bioinformatics. 22(1). 2 indexed citations
3.
Yang, Zhidong, Hongjia Li, Dawei Zang, Renmin Han, & Fa Zhang. (2024). Improved Denoising of Cryo-Electron Microscopy Micrographs with Simulation-Aware Pretraining. Journal of Computational Biology. 31(6). 564–575. 1 indexed citations
4.
Zhang, Chi, et al.. (2024). UPicker: a semi-supervised particle picking transformer method for cryo-EM micrographs. Briefings in Bioinformatics. 26(1).
5.
Han, Renmin, et al.. (2024). Highly efficient clustering of long-read transcriptomic data with GeLuster. Bioinformatics. 40(2). 1 indexed citations
6.
Bao, Lei, Chenjie Feng, Qiang Huang, et al.. (2024). Accurate Prediction of Protein Structural Flexibility by Deep Learning Integrating Intricate Atomic Structures and Cryo-EM Density Information. Nature Communications. 15(1). 5538–5538. 30 indexed citations
7.
Zhang, Yan, et al.. (2024). vEMstitch: an algorithm for fully automatic image stitching of volume electron microscopy. GigaScience. 13. 1 indexed citations
8.
Yu, Xiang, et al.. (2024). Few-shot classification of Cryo-ET subvolumes with deep Brownian distance covariance. Briefings in Bioinformatics. 26(1).
9.
Yang, Zhidong, et al.. (2023). MarkerDetector: A method for robust fiducial marker detection in electron micrographs using wavelet-based template. Journal of Structural Biology. 216(1). 108044–108044. 3 indexed citations
10.
Han, Renmin, et al.. (2023). HycDemux: a hybrid unsupervised approach for accurate barcoded sample demultiplexing in nanopore sequencing. Genome biology. 24(1). 222–222. 4 indexed citations
11.
Zhang, Zhao, Yan Xia, Piyang Liu, et al.. (2023). A physics-informed convolutional neural network for the simulation and prediction of two-phase Darcy flows in heterogeneous porous media. Journal of Computational Physics. 477. 111919–111919. 57 indexed citations
12.
Li, Hongjia, Hui Zhang, Xiaohua Wan, et al.. (2022). Noise-Transfer2Clean: denoising cryo-EM images based on noise modeling and transfer. Bioinformatics. 38(7). 2022–2029. 18 indexed citations
13.
Yu, Ting, Renmin Han, Zhaoyuan Fang, et al.. (2021). TransRef enables accurate transcriptome assembly by redefining accurate neo-splicing graphs. Briefings in Bioinformatics. 22(6). 2 indexed citations
14.
Han, Renmin, Sheng Wang, & Xin Gao. (2019). Novel algorithms for efficient subsequence searching and mapping in nanopore raw signals towards targeted sequencing. Bioinformatics. 36(5). 1333–1343. 11 indexed citations
15.
Li, Yu, Renmin Han, Chongwei Bi, et al.. (2018). DeepSimulator: a deep simulator for Nanopore sequencing. Bioinformatics. 34(17). 2899–2908. 57 indexed citations
16.
Han, Renmin, Yu Li, Xin Gao, & Sheng Wang. (2018). An accurate and rapid continuous wavelet dynamic time warping algorithm for end-to-end mapping in ultra-long nanopore sequencing. Bioinformatics. 34(17). i722–i731. 19 indexed citations
17.
Han, Renmin, Xiaohua Wan, Zihao Wang, et al.. (2017). AuTom: A novel automatic platform for electron tomography reconstruction. Journal of Structural Biology. 199(3). 196–208. 21 indexed citations
18.
Han, Renmin, et al.. (2015). A novel fully automatic scheme for fiducial marker-based alignment in electron tomography. Journal of Structural Biology. 192(3). 403–417. 37 indexed citations
19.
Han, Renmin, Fan Xu, Yongdeng Zhang, et al.. (2015). Drift correction for single-molecule imaging by molecular constraint field, a distance minimum metric. PubMed. 8(1). 1–1. 15 indexed citations
20.
Han, Renmin, Fa Zhang, Xiaohua Wan, et al.. (2014). A marker-free automatic alignment method based on scale-invariant features. Journal of Structural Biology. 186(1). 167–180. 30 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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