Han Wang

3.5k total citations · 1 hit paper
79 papers, 2.3k citations indexed

About

Han Wang is a scholar working on Molecular Biology, Genetics and Computational Theory and Mathematics. According to data from OpenAlex, Han Wang has authored 79 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Molecular Biology, 16 papers in Genetics and 10 papers in Computational Theory and Mathematics. Recurrent topics in Han Wang's work include Machine Learning in Bioinformatics (21 papers), RNA and protein synthesis mechanisms (18 papers) and Protein Structure and Dynamics (15 papers). Han Wang is often cited by papers focused on Machine Learning in Bioinformatics (21 papers), RNA and protein synthesis mechanisms (18 papers) and Protein Structure and Dynamics (15 papers). Han Wang collaborates with scholars based in China, United States and Singapore. Han Wang's co-authors include Linfeng Zhang, E Weinan, Jiequn Han, Qian Wu, Dihua Wu, Huaibo Song, Dongjian He, Bo Jiang, Tao Zhou and Xihan Guo and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Han Wang

68 papers receiving 2.3k 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.

DeePMD-kit: A deep learning package for many-body potential energy representation and molecular dynamics

2018 1.4k citations Han Wang, Linfeng Zhang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Han Wang China	17	1.1k	710	277	217	186	79	2.3k
Ming‐Jing Hwang Taiwan	29	622 0.6×	1.3k 1.9×	171 0.6×	391 1.8×	249 1.3×	90	3.2k
Rudiyanto Gunawan United States	28	407 0.4×	1.3k 1.8×	230 0.8×	86 0.4×	136 0.7×	88	2.3k
Martha A. Grover United States	33	1.0k 0.9×	1.2k 1.7×	570 2.1×	90 0.4×	116 0.6×	141	3.3k
Naveen Michaud‐Agrawal United States	4	438 0.4×	1.7k 2.4×	170 0.6×	329 1.5×	166 0.9×	4	2.7k
Martin Held Switzerland	27	374 0.3×	2.2k 3.1×	780 2.8×	223 1.0×	142 0.8×	63	3.5k
Alexander Nelson United Kingdom	5	841 0.8×	1.5k 2.1×	116 0.4×	169 0.8×	463 2.5×	8	2.7k
Takeshi Ishikawa Japan	30	621 0.6×	876 1.2×	157 0.6×	510 2.4×	227 1.2×	167	3.0k
Norio Yoshida Japan	30	648 0.6×	1.0k 1.5×	191 0.7×	672 3.1×	332 1.8×	275	3.9k
Sungwoo Park South Korea	30	355 0.3×	423 0.6×	144 0.5×	231 1.1×	56 0.3×	171	3.2k
Yaoyao Chen China	30	552 0.5×	1.3k 1.8×	440 1.6×	118 0.5×	51 0.3×	132	2.8k

Countries citing papers authored by Han Wang

Since Specialization

Citations

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

Fields of papers citing papers by Han Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Han Wang

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

Liu, Zhengqun, Han Wang, Ruqing Zhong, et al.. (2025). Multi-Omics Insights into the Role of Dulcitol in Weaned Piglets’ Growth Performance and Intestinal Health. Antioxidants. 14(11). 1346–1346.

Xin, H., Ping He, Bin Xi, et al.. (2025). Neutrophil-to-lymphocyte ratio and short-term mortality in patients having anti-MDA5-positive dermatomyositis with interstitial lung disease: a retrospective study. BMC Pulmonary Medicine. 25(1). 40–40. 2 indexed citations

Fu, Baoqin, Yandong Sun, Wanrun Jiang, et al.. (2024). Determining the thermal conductivity and phonon behavior of SiC materials with quantum accuracy via deep learning interatomic potential model. Journal of Nuclear Materials. 591. 154897–154897. 5 indexed citations

Wang, Han, et al.. (2024). Genome-Wide Identification and Expression Analysis of Members in the YT521-B Homology Domain-Containing RNA Binding Protein Family in Ginkgo biloba. Plants. 13(24). 3589–3589. 2 indexed citations

Lu, Chang, et al.. (2024). Analysis and prediction of interactions between transmembrane and non-transmembrane proteins. BMC Genomics. 25(S1). 401–401. 2 indexed citations

Cao, Yunpeng, Heqiang Huo, Muhammad Abdullah, et al.. (2024). Gap-free genome assemblies of two Pyrus bretschneideri cultivars and GWAS analyses identify a CCCH zinc finger protein as a key regulator of stone cell formation in pear fruit. Plant Communications. 6(3). 101238–101238. 10 indexed citations

Zhuang, Kai, Lige Leng, Xiao Su, et al.. (2024). Menin Deficiency Induces Autism‐Like Behaviors by Regulating Foxg1 Transcription and Participates in Foxg1‐Related Encephalopathy. Advanced Science. 11(24). e2307953–e2307953. 1 indexed citations

Liu, Zhe, et al.. (2023). Emden: A novel method integrating graph and transformer representations for predicting the effect of mutations on clinical drug response. Computers in Biology and Medicine. 167. 107678–107678. 2 indexed citations

Lv, Ruili, Han Wang, Ruisi Wang, et al.. (2023). Genome shock in a synthetic allotetraploid wheat invokes subgenome-partitioned gene regulation, meiotic instability, and karyotype variation. Journal of Experimental Botany. 74(18). 5547–5563. 3 indexed citations

10.

Xia, Lei, Han Wang, Xiaqing Yu, et al.. (2023). Chloroplast Pan-Genomes and Comparative Transcriptomics Reveal Genetic Variation and Temperature Adaptation in the Cucumber. International Journal of Molecular Sciences. 24(10). 8943–8943. 17 indexed citations

11.

Geng, Cuizhi, Cheng Wang, Chen Cui, et al.. (2020). Comprehensive Evaluation of Lipopolysaccharide-Induced Changes in Rats Based on Metabolomics. SHILAP Revista de lepidopterología. 1 indexed citations

12.

Lin, Lin, et al.. (2020). Genetic characterization of 19 X-STRs in Sierra Leone population from Freetown. International Journal of Legal Medicine. 134(5). 1659–1661. 5 indexed citations

13.

Yang, Yuning, Jiawen Yu, Zhe Liu, et al.. (2020). An Improved Topology Prediction of Alpha-Helical Transmembrane Protein Based on Deep Multi-Scale Convolutional Neural Network. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19(1). 295–304. 4 indexed citations

14.

Wang, Han, et al.. (2020). Forensic parameters and genetic structure analysis of 30 autosomal InDels of the population in Freetown, Sierra Leone. International Journal of Legal Medicine. 135(3). 767–769. 2 indexed citations

15.

Lu, Chang, et al.. (2020). TM-ZC: A Deep Learning-Based Predictor for the Z-Coordinate of Residues in α-Helical Transmembrane Proteins. IEEE Access. 8. 40129–40137. 4 indexed citations

16.

Lu, Chang, et al.. (2019). TMP-SSurface: A Deep Learning-Based Predictor for Surface Accessibility of Transmembrane Protein Residues. Crystals. 9(12). 640–640. 5 indexed citations

17.

Lin, Guan Ning, Weidi Wang, Wei Qian, et al.. (2019). PsyMuKB: An Integrative De Novo Variant Knowledge Base for Developmental Disorders. Genomics Proteomics & Bioinformatics. 17(4). 453–464. 9 indexed citations

18.

Wu, Dihua, Qian Wu, Bo Jiang, et al.. (2019). Lameness detection of dairy cows based on the YOLOv3 deep learning algorithm and a relative step size characteristic vector. Biosystems Engineering. 189. 150–163. 115 indexed citations

19.

Yang, Fengqin, et al.. (2017). Relevance popularity: A term event model based feature selection scheme for text classification. PLoS ONE. 12(4). e0174341–e0174341. 8 indexed citations

20.

Wang, Han, Chao Zhang, Xiaohu Shi, Li Zhang, & You Zhou. (2012). Improving transmembrane protein consensus topology prediction using inter-helical interaction. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1818(11). 2679–2686. 6 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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