Xiaowei Zhao

3.6k total citations
103 papers, 2.4k citations indexed

About

Xiaowei Zhao is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xiaowei Zhao has authored 103 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 23 papers in Artificial Intelligence and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xiaowei Zhao's work include Machine Learning in Bioinformatics (27 papers), Genomics and Phylogenetic Studies (17 papers) and RNA and protein synthesis mechanisms (11 papers). Xiaowei Zhao is often cited by papers focused on Machine Learning in Bioinformatics (27 papers), Genomics and Phylogenetic Studies (17 papers) and RNA and protein synthesis mechanisms (11 papers). Xiaowei Zhao collaborates with scholars based in China, United States and United Kingdom. Xiaowei Zhao's co-authors include Zhiqiang Ma, Minghao Yin, Ning Qiao, Jun Liu, Ping Li, Steven J. Norris, Jian Zhang, Guodong Li, Pingping Sun and Hairong Lu and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Xiaowei Zhao

97 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaowei Zhao China	28	1.4k	291	277	223	156	103	2.4k
Naomi Harte Ireland	17	1.4k 1.0×	69 0.2×	358 1.3×	341 1.5×	270 1.7×	98	3.2k
Jennifer Bryan Canada	26	1.1k 0.8×	376 1.3×	126 0.5×	91 0.4×	87 0.6×	62	2.9k
Georgios A. Pavlopoulos Greece	27	2.4k 1.7×	102 0.4×	965 3.5×	231 1.0×	197 1.3×	90	3.9k
André Leier United States	31	3.2k 2.3×	282 1.0×	82 0.3×	159 0.7×	101 0.6×	66	3.7k
Kay Nieselt Germany	34	2.8k 2.0×	122 0.4×	427 1.5×	111 0.5×	59 0.4×	125	4.8k
Jijun Tang China	42	4.7k 3.3×	238 0.8×	247 0.9×	503 2.3×	177 1.1×	231	5.8k
Jian Peng China	23	2.2k 1.5×	64 0.2×	359 1.3×	588 2.6×	405 2.6×	67	3.9k
Andrei Gabrielian United States	19	2.4k 1.7×	519 1.8×	120 0.4×	248 1.1×	65 0.4×	40	2.9k
Tom Sercu United States	7	2.9k 2.0×	124 0.4×	125 0.5×	329 1.5×	86 0.6×	16	3.6k
Thomas L. Casavant United States	35	2.4k 1.7×	413 1.4×	302 1.1×	223 1.0×	56 0.4×	134	5.3k

Countries citing papers authored by Xiaowei Zhao

Since Specialization

Citations

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

Fields of papers citing papers by Xiaowei Zhao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaowei Zhao

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

All Works

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20 of 20 papers shown

Zhao, Xiaowei, et al.. (2025). Inversed Pyramid Network with Spatial-adapted and Task-oriented Tuning for few-shot learning. Pattern Recognition. 164. 111415–111415. 1 indexed citations

Huertas, Jan, Run-Wen Yao, Nirnay Samanta, et al.. (2025). Multiscale structure of chromatin condensates explains phase separation and material properties. Science. 390(6777). eadv6588–eadv6588.

Zhao, Xiaowei, et al.. (2025). Mf-cite: citation intent classification in scientific papers based on multi-feature fusion. Scientometrics. 130(8). 4465–4493.

Matsui, Aya, Cathy J. Spangler, Johannes Elferich, et al.. (2024). Cryo-electron tomographic investigation of native hippocampal glutamatergic synapses. eLife. 13. 2 indexed citations

Matsui, Aya, Cathy J. Spangler, Johannes Elferich, et al.. (2024). Cryo-electron tomographic investigation of native hippocampal glutamatergic synapses. eLife. 13. 11 indexed citations

Zhao, Xiaowei, Rui Yan, Christian R. Nelson, et al.. (2024). Architecture of native kinetochores revealed by structural studies utilizing a thermophilic yeast. Current Biology. 34(17). 3881–3893.e5. 4 indexed citations

Chen, Zhen, Garrett Greenan, Momoko Shiozaki, et al.. (2023). In situ cryo-electron tomography reveals the asymmetric architecture of mammalian sperm axonemes. Nature Structural & Molecular Biology. 30(3). 360–369. 37 indexed citations

Huang, Zimo, et al.. (2022). Transcriptome analysis of differentially expressed genes involved in the inflammageing status of gingiva in aged mice. Oral Diseases. 29(4). 1757–1769. 2 indexed citations

Zhao, Xiaowei, et al.. (2022). PSLDA: a novel supervised pseudo document-based topic model for short texts. Frontiers of Computer Science. 16(6). 4 indexed citations

10.

Zhao, Xiaowei, et al.. (2021). Heterogeneous graph attention network based on meta-paths for lncRNA–disease association prediction. Briefings in Bioinformatics. 23(1). 56 indexed citations

11.

Li, Ping & Xiaowei Zhao. (2021). Computational mechanisms of development? Connectionism and bilingual lexical representation. Bilingualism Language and Cognition. 25(2). 224–225. 3 indexed citations

12.

Zhao, Xiaowei, et al.. (2020). MHRWR: Prediction of lncRNA-Disease Associations Based on Multiple Heterogeneous Networks. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18(6). 2577–2585. 25 indexed citations

13.

Zhao, Xiaowei, et al.. (2020). A neural topic model with word vectors and entity vectors for short texts. Information Processing & Management. 58(2). 102455–102455. 40 indexed citations

14.

Zhao, Xiaowei, et al.. (2015). PGluS: prediction of protein S -glutathionylation sites with multiple features and analysis. Molecular BioSystems. 11(3). 923–929. 20 indexed citations

15.

Zhang, Jian, Wenhan Chen, Pingping Sun, Xiaowei Zhao, & Zhiqiang Ma. (2015). Prediction of protein solvent accessibility using PSO-SVR with multiple sequence-derived features and weighted sliding window scheme. BioData Mining. 8(1). 3–3. 18 indexed citations

16.

Zhao, Xiaowei & Ping Li. (2012). Simulating cross-language priming with a dynamic computational model of the lexicon. Bilingualism Language and Cognition. 16(2). 288–303. 36 indexed citations

17.

Zhao, Xiaowei, et al.. (2011). Cross-Language Priming in Chinese-English Bilinguals with Different Second Language Proficiency Levels. eScholarship (California Digital Library). 33(33). 5 indexed citations

18.

Zhao, Xiaowei & Ping Li. (2008). Vocabulary development in English and Chinese: A comparative study with self-organizing neural networks. Conference Cognitive Science. 10 indexed citations

19.

Wang, Gaoge, et al.. (2007). Phylogenetic analysis of epiphytic marine bacteria on Hole-Rotten diseased sporophytes of Laminaria japonica. Journal of Applied Phycology. 20(4). 403–409. 69 indexed citations

20.

Li, Ping & Xiaowei Zhao. (2006). A Self-Organizing Connectionist Model of Bilingual Lexical Development. eScholarship (California Digital Library). 28(28). 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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