Xiang Wan

20.9k total citations · 3 hit papers
133 papers, 14.0k citations indexed

About

Xiang Wan is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Xiang Wan has authored 133 papers receiving a total of 14.0k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 30 papers in Artificial Intelligence and 28 papers in Genetics. Recurrent topics in Xiang Wan's work include Genetic Associations and Epidemiology (24 papers), Topic Modeling (17 papers) and Bioinformatics and Genomic Networks (14 papers). Xiang Wan is often cited by papers focused on Genetic Associations and Epidemiology (24 papers), Topic Modeling (17 papers) and Bioinformatics and Genomic Networks (14 papers). Xiang Wan collaborates with scholars based in China, Hong Kong and United States. Xiang Wan's co-authors include Tiejun Tong, Jiming Liu, Wenqian Wang, Dehui Luo, Can Yang, Weichuan Yu, Yan Song, Qiang Yang, Zhihong Chen and Hong Xue and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Genetics.

In The Last Decade

Xiang Wan

124 papers receiving 13.9k 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.

Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range

2014 7.8k citations Xiang Wan et al. profile →
Optimally estimating the sample mean from the sample size, median, mid-range, and/or mid-quartile range

2016 2.6k citations Xiang Wan et al. profile →
Detecting the skewness of data from the five-number summary and its application in meta-analysis

2023 162 citations Xiang Wan et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiang Wan China	30	3.4k	2.0k	1.9k	1.7k	1.5k	133	14.0k
Saskia le Cessie Netherlands	74	2.9k 0.9×	1.8k 0.9×	2.1k 1.1×	2.6k 1.5×	2.6k 1.8×	464	21.0k
Marinus J.C. Eijkemans Netherlands	74	2.7k 0.8×	1.3k 0.7×	1.9k 1.0×	2.3k 1.4×	2.0k 1.4×	312	22.0k
Lü Tian United States	67	4.1k 1.2×	3.1k 1.6×	2.5k 1.3×	1.4k 0.8×	1.3k 0.9×	619	17.6k
Martin Schumacher Germany	80	3.8k 1.1×	1.7k 0.8×	3.0k 1.5×	2.9k 1.7×	941 0.6×	462	20.3k
Patrick J. Heagerty United States	59	2.7k 0.8×	1.9k 1.0×	2.1k 1.1×	2.6k 1.5×	809 0.6×	278	18.3k
Zhen Wang United States	60	2.6k 0.8×	1.2k 0.6×	1.4k 0.7×	3.7k 2.2×	1.4k 1.0×	352	16.4k
Jiming Liu Hong Kong	44	3.4k 1.0×	1.0k 0.5×	1.9k 1.0×	1.8k 1.1×	1.5k 1.0×	421	17.3k
Lotty Hooft Netherlands	55	2.4k 0.7×	826 0.4×	2.1k 1.1×	2.6k 1.5×	1.3k 0.9×	208	16.6k
William D. Dupont United States	63	2.9k 0.9×	2.9k 1.5×	2.4k 1.3×	2.9k 1.7×	1.3k 0.9×	257	19.2k
Enrique F. Schisterman United States	66	1.5k 0.4×	1.6k 0.8×	1.2k 0.6×	1.7k 1.0×	1.4k 1.0×	414	21.5k

Countries citing papers authored by Xiang Wan

Since Specialization

Citations

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

Fields of papers citing papers by Xiang Wan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiang Wan

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

Li, Zhuo, et al.. (2025). Self-Instructed Derived Prompt Generation Meets In-Context Learning: Unlocking New Potential of Black-Box LLMs. 1840–1857.

Wang, Changmiao, Ahmed Elazab, Gangyong Jia, et al.. (2025). CRISP-SAM2: SAM2 with Cross-Modal Interaction and Semantic Prompting for Multi-Organ Segmentation. 1298–1307. 1 indexed citations

Liu, Siqi, et al.. (2024). Highlighted Diffusion Model as Plug-In Priors for Polyp Segmentation. IEEE Journal of Biomedical and Health Informatics. 29(2). 1209–1220. 3 indexed citations

Li, Haofeng, et al.. (2024). UniCell: Universal Cell Nucleus Classification via Prompt Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 38(3). 2348–2356. 2 indexed citations

Li, Haofeng, et al.. (2024). Self-Supervised Alignment Learning For Medical Image Segmentation. 1–5. 2 indexed citations

Lou, Wei, Guanbin Li, Xiang Wan, & Haofeng Li. (2024). Cell Graph Transformer for Nuclei Classification. Proceedings of the AAAI Conference on Artificial Intelligence. 38(4). 3873–3881. 4 indexed citations

Wan, Xiang, et al.. (2024). EXPERIMENTAL STUDY ON TWO-SIDED LOOSENING SHOVEL OF DIGGING-PULLING CASSAVA HARVESTER. INMATEH Agricultural Engineering. 69–80. 1 indexed citations

Wan, Xiang, et al.. (2024). Vessel Trajectory Prediction Method Based on the Time Series Data Fusion Model. PROMET - Traffic&Transportation. 36(6). 1160–1175. 3 indexed citations

Chen, Zhihong, Shizhe Diao, Benyou Wang, Guanbin Li, & Xiang Wan. (2023). Towards Unifying Medical Vision-and-Language Pre-training via Soft Prompts. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 23346–23356. 10 indexed citations

10.

Xiao, Jiashun, Mingxuan Cai, Yuling Jiao, et al.. (2023). PALM: a powerful and adaptive latent model for prioritizing risk variants with functional annotations. Bioinformatics. 39(2). 1 indexed citations

11.

Xiao, Jiashun, Mingxuan Cai, Ryohichi Sugimura, et al.. (2023). Integrating spatial and single-cell transcriptomics data using deep generative models with SpatialScope. Nature Communications. 14(1). 7848–7848. 64 indexed citations

12.

Xiao, Jiashun, Mingxuan Cai, Xianghong Hu, et al.. (2022). Leveraging the local genetic structure for trans-ancestry association mapping. The American Journal of Human Genetics. 109(7). 1317–1337. 8 indexed citations

13.

Liu, Li, et al.. (2022). WebUAV-3M: A Benchmark for Unveiling the Power of Million-Scale Deep UAV Tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(7). 9186–9205. 21 indexed citations

14.

Liao, Yinghong, Fuyu Wang, Bin Zhang, et al.. (2021). Medical-VLBERT: Medical Visual Language BERT for COVID-19 CT Report Generation With Alternate Learning. IEEE Transactions on Neural Networks and Learning Systems. 32(9). 3786–3797. 48 indexed citations

15.

Kalinin, Alexandr A., Alex Ade, Walter Meixner, et al.. (2021). Valproic acid-induced changes of 4D nuclear morphology in astrocyte cells. Molecular Biology of the Cell. 32(18). 1624–1633. 9 indexed citations

16.

Cai, Mingxuan, Jiashun Xiao, Xiang Wan, et al.. (2021). A unified framework for cross-population trait prediction by leveraging the genetic correlation of polygenic traits. The American Journal of Human Genetics. 108(4). 632–655. 58 indexed citations

17.

Tian, Yuanhe, et al.. (2020). Improving Named Entity Recognition with Attentive Ensemble of Syntactic Information. 4231–4245. 48 indexed citations

18.

Chen, L., et al.. (2015). A compact time-of-flight mass spectrometer for ion source characterization. Review of Scientific Instruments. 86(3). 35107–35107. 3 indexed citations

19.

Zhou, Xiaowei, Can Yang, Xiang Wan, Hongyu Zhao, & Weichuan Yu. (2013). Multisample aCGH Data Analysis via Total Variation and Spectral Regularization. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 10(1). 230–235. 20 indexed citations

20.

Wan, Xiang, D A Mathers, & E. Puil. (2003). Pentobarbital modulates intrinsic and GABA-receptor conductances in thalamocortical inhibition. Neuroscience. 121(4). 947–958. 40 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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