Xiaohan Zhao

1.3k total citations · 1 hit paper
32 papers, 880 citations indexed

About

Xiaohan Zhao is a scholar working on Molecular Biology, Computer Networks and Communications and General Dentistry. According to data from OpenAlex, Xiaohan Zhao has authored 32 papers receiving a total of 880 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Computer Networks and Communications and 6 papers in General Dentistry. Recurrent topics in Xiaohan Zhao's work include Dental Research and COVID-19 (6 papers), Complex Network Analysis Techniques (6 papers) and Peer-to-Peer Network Technologies (5 papers). Xiaohan Zhao is often cited by papers focused on Dental Research and COVID-19 (6 papers), Complex Network Analysis Techniques (6 papers) and Peer-to-Peer Network Technologies (5 papers). Xiaohan Zhao collaborates with scholars based in China, United States and Italy. Xiaohan Zhao's co-authors include Wen Zhang, Feng Huang, Wenjie Xiao, Christopher A. McCulloch, András Kapùs, Carol Laschinger, Katalin Szászi, Hai-Tao Zheng, Ben Y. Zhao and Alessandra Sala and has published in prestigious journals such as Journal of Neuroscience, Journal of Cell Science and Environment International.

In The Last Decade

Xiaohan Zhao

30 papers receiving 866 citations

Hit Papers

Predicting drug–disease associations through layer attent... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaohan Zhao China 13 427 198 150 100 87 32 880
Dexter Pratt United States 17 659 1.5× 147 0.7× 45 0.3× 75 0.8× 241 2.8× 31 1.1k
Eric Bullinger Germany 16 624 1.5× 131 0.7× 58 0.4× 30 0.3× 27 0.3× 66 1.1k
Mulin Jun Li China 19 882 2.1× 56 0.3× 27 0.2× 164 1.6× 68 0.8× 45 1.4k
Tomáš Helikar United States 21 972 2.3× 224 1.1× 39 0.3× 72 0.7× 43 0.5× 72 1.5k
Shuling Wang China 19 609 1.4× 148 0.7× 39 0.3× 39 0.4× 51 0.6× 68 1.0k
Jeong‐Rae Kim South Korea 15 622 1.5× 47 0.2× 112 0.7× 48 0.5× 19 0.2× 37 820
Junil Kim South Korea 22 1.0k 2.4× 59 0.3× 68 0.5× 178 1.8× 32 0.4× 67 1.4k
Dawn Walker United Kingdom 19 289 0.7× 48 0.2× 187 1.2× 27 0.3× 55 0.6× 53 1.2k
Woochang Hwang United States 16 533 1.2× 136 0.7× 40 0.3× 42 0.4× 27 0.3× 41 817
Kyung-Ah Sohn South Korea 20 440 1.0× 32 0.2× 42 0.3× 113 1.1× 244 2.8× 95 1.3k

Countries citing papers authored by Xiaohan Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohan Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohan Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohan Zhao. A scholar is included among the top collaborators of Xiaohan 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 Xiaohan Zhao. Xiaohan Zhao 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.
Ye, Hongqiang, et al.. (2025). Effectiveness and Methodologies of Virtual Reality Dental Simulators for Veneer Tooth Preparation Training: Randomized Controlled Trial. Journal of Medical Internet Research. 27. e63961–e63961. 3 indexed citations
2.
Wang, Yizhen, Yi Li, Weiyi Zhang, et al.. (2025). Effectiveness evaluation of a serious game for dental lost wax casting training. BMC Medical Education. 25(1). 316–316.
3.
Xu, Feifei, Ziyin Li, Xiaohan Zhao, et al.. (2025). Comprehensive analysis of mode of action for cadmium-induced renal tubular dysfunction: a case study integrating high-throughput sequencing, targeted cellular assays, and human data. Environment International. 203. 109744–109744. 1 indexed citations
4.
Zhao, Xiaohan, Daria Pakuła, Bogna Sztorch, et al.. (2025). Treatment and Valorization of Waste Wind Turbines: Component Identification and Analysis. Materials. 18(2). 468–468. 2 indexed citations
6.
Zhao, Xiaohan, et al.. (2024). Virtual and Interprofessional Objective Structured Clinical Examination in Dentistry and Dental Technology: Development and User Evaluations. JMIR Formative Research. 8. e44653–e44653. 3 indexed citations
7.
Zhao, Xiaohan, et al.. (2022). Preliminary User Evaluation of a New Dental Technology Virtual Simulation System: Development and Validation Study. JMIR Serious Games. 10(3). e36079–e36079. 6 indexed citations
8.
Yang, Ruijie, et al.. (2022). Exploring the Impact of Adding Adversarial Perturbation onto Different Image Regions. 2022 IEEE International Symposium on Circuits and Systems (ISCAS). 80. 2363–2367. 1 indexed citations
9.
Ye, Hongqiang, Xiaohan Zhao, Yunsong Liu, et al.. (2021). Mixed Reality and Haptic–Based Dental Simulator for Tooth Preparation: Research, Development, and Preliminary Evaluation. JMIR Serious Games. 10(1). e30653–e30653. 26 indexed citations
10.
Zhao, Xiaohan, et al.. (2020). Haptic Rendering of Diverse Tool-Tissue Contact Constraints During Dental Implantation Procedures. Frontiers in Robotics and AI. 7. 35–35. 7 indexed citations
11.
Zhao, Xiaohan, et al.. (2020). Predicting Long non-coding RNAs through feature ensemble learning. BMC Genomics. 21(S13). 865–865. 3 indexed citations
12.
Zhao, Xiaohan, Guangyan Zhang, Weiyang Li, et al.. (2019). PredLnc-GFStack: A Global Sequence Feature Based on a Stacked Ensemble Learning Method for Predicting lncRNAs from Transcripts. Genes. 10(9). 672–672. 20 indexed citations
13.
Zhao, Xiaohan, et al.. (2019). LncPred-IEL: A Long Non-coding RNA Prediction Method using Iterative Ensemble Learning. 555–562. 7 indexed citations
14.
Wang, Dangxiao, et al.. (2016). Six Degree-of-Freedom Haptic Simulation of Probing Dental Caries Within a Narrow Oral Cavity. IEEE Transactions on Haptics. 9(2). 279–291. 13 indexed citations
15.
Liu, Qingyun, Xiaohan Zhao, Walter Willinger, et al.. (2016). Self-Similarity in Social Network Dynamics. 2(1). 1–26. 10 indexed citations
16.
Wang, Dangxiao, et al.. (2016). Six Degree-of-Freedom Haptic Simulation of a Stringed Musical Instrument for Triggering Sounds. IEEE Transactions on Haptics. 10(2). 265–275. 8 indexed citations
17.
Zhang, Jin, Wenge Ma, Yan He, et al.. (2015). Sex biased expression of ghrelin and GHSR associated with sexual size dimorphism in yellow catfish. Gene. 578(2). 169–176. 25 indexed citations
18.
Zhang, Zengbin, Lin Zhou, Xiaohan Zhao, et al.. (2013). On the validity of geosocial mobility traces. 1–7. 42 indexed citations
19.
Zhao, Xiaohan, et al.. (2007). Force activates smooth muscle α-actin promoter activity through the Rho signaling pathway. Journal of Cell Science. 120(10). 1801–1809. 258 indexed citations
20.
Xin, Wenkuan, Chun L. Kwan, Xiaohan Zhao, et al.. (2005). A Functional Interaction of Sodium and Calcium in the Regulation of NMDA Receptor Activity by Remote NMDA Receptors. Journal of Neuroscience. 25(1). 139–148. 29 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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