Xiaolei Wang

2.7k total citations · 1 hit paper
109 papers, 1.9k citations indexed

About

Xiaolei Wang is a scholar working on Molecular Biology, Plant Science and Artificial Intelligence. According to data from OpenAlex, Xiaolei Wang has authored 109 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 12 papers in Plant Science and 11 papers in Artificial Intelligence. Recurrent topics in Xiaolei Wang's work include RNA and protein synthesis mechanisms (4 papers), DNA and Nucleic Acid Chemistry (4 papers) and Genomics and Phylogenetic Studies (3 papers). Xiaolei Wang is often cited by papers focused on RNA and protein synthesis mechanisms (4 papers), DNA and Nucleic Acid Chemistry (4 papers) and Genomics and Phylogenetic Studies (3 papers). Xiaolei Wang collaborates with scholars based in China, United States and Saudi Arabia. Xiaolei Wang's co-authors include Jijun Zhang, Amy Rathbun, Guozheng Liang, Zengping Zhang, Yi‐Lei Zhao, Jim Jing-Yan Wang, Xin Gao, Ting Shi, Yuqiang Feng and Jiandong Lu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Xiaolei Wang

101 papers receiving 1.8k citations

Hit Papers

Emotional expression by artificial intelligence chatbots ... 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
Xiaolei Wang China 25 516 249 201 163 141 109 1.9k
Zhi Hong Chen China 26 493 1.0× 209 0.8× 41 0.2× 68 0.4× 159 1.1× 148 2.3k
Jieun Kim South Korea 24 213 0.4× 161 0.6× 46 0.2× 116 0.7× 105 0.7× 172 2.0k
Young‐Sun Lee South Korea 41 2.3k 4.5× 191 0.8× 304 1.5× 58 0.4× 134 1.0× 306 6.5k
Jin Ha Lee United States 33 712 1.4× 124 0.5× 327 1.6× 368 2.3× 153 1.1× 279 3.9k
Charles Miller United States 32 862 1.7× 371 1.5× 373 1.9× 52 0.3× 87 0.6× 116 3.2k
Shanshan Wang China 32 760 1.5× 154 0.6× 173 0.9× 20 0.1× 72 0.5× 207 3.2k
Jung Min Park South Korea 32 1.1k 2.1× 57 0.2× 102 0.5× 154 0.9× 293 2.1× 220 3.6k
James R. Cox United States 20 436 0.8× 154 0.6× 33 0.2× 218 1.3× 88 0.6× 50 1.7k
Harry E. Pence United States 14 496 1.0× 263 1.1× 49 0.2× 68 0.4× 123 0.9× 40 1.5k
Ning Yang China 26 327 0.6× 342 1.4× 362 1.8× 39 0.2× 112 0.8× 141 2.1k

Countries citing papers authored by Xiaolei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaolei Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaolei Wang. A scholar is included among the top collaborators of Xiaolei 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 Xiaolei Wang. Xiaolei Wang 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.
Gao, Ge, et al.. (2025). Double-network hydrogel dressing regulated by cationic polymer-grafted bacterial cellulose for promote rapid healing of infected wounds. Carbohydrate Polymers. 353. 123257–123257. 8 indexed citations
2.
4.
Zhang, Junbo, Xiaolei Wang, Jiandong Lu, Luning Liu, & Yuqiang Feng. (2024). The impact of emotional expression by artificial intelligence recommendation chatbots on perceived humanness and social interactivity. Decision Support Systems. 187. 114347–114347. 18 indexed citations
5.
Zhang, Junbo, Jiandong Lu, Xiaolei Wang, Luning Liu, & Yuqiang Feng. (2024). Emotional expressions of care and concern by customer service chatbots: Improved customer attitudes despite perceived inauthenticity. Decision Support Systems. 186. 114314–114314. 7 indexed citations
6.
Zhang, Junbo, Qi Chen, Jiandong Lu, et al.. (2023). Emotional expression by artificial intelligence chatbots to improve customer satisfaction: Underlying mechanism and boundary conditions. Tourism Management. 100. 104835–104835. 102 indexed citations breakdown →
7.
Gui, Yuanyuan, Yunting Zhang, Hui Lü, et al.. (2023). CARE as a wearable derived feature linking circadian amplitude to human cognitive functions. npj Digital Medicine. 6(1). 123–123. 9 indexed citations
8.
Wu, Jiao, Chunmei Liang, Yida Huang, et al.. (2023). Efficient Metabolic Fingerprinting of Follicular Fluid Encodes Ovarian Reserve and Fertility. Advanced Science. 10(23). e2302023–e2302023. 21 indexed citations
9.
Zou, Weiwei, Kai Zong, Zhikang Zhang, et al.. (2023). Novel economical, accurate, sensitive, single-cell analytical method for mitochondrial DNA quantification in mtDNA mutation carriers. Journal of Assisted Reproduction and Genetics. 40(9). 2197–2209. 2 indexed citations
10.
Li, Zhenmin, Ruimin Shen, Maoxiang Yi, et al.. (2023). Hotspots Reduction for GALS NoC Using a Low-Latency Multistage Packet Reordering Approach. Micromachines. 14(2). 444–444. 2 indexed citations
11.
Tian, Mengyuan, Shujuan Ma, Yiping You, et al.. (2021). Serum Metabolites as an Indicator of Developing Gestational Diabetes Mellitus Later in the Pregnancy: A Prospective Cohort of a Chinese Population. Journal of Diabetes Research. 2021. 1–13. 25 indexed citations
12.
Zhang, Jijun, et al.. (2021). Report on the Condition of Education 2021. NCES 2021-144.. National Center for Education Statistics. 35 indexed citations
13.
Wang, Xiaolei, et al.. (2017). The Condition of Education 2017. NCES 2017-144.. National Center for Education Statistics. 163 indexed citations
14.
Cheng, Shangli, Ting Shi, Xiaolei Wang, et al.. (2014). Features of S-nitrosylation based on statistical analysis and molecular dynamics simulation: cysteine acidity, surrounding basicity, steric hindrance and local flexibility. Molecular BioSystems. 10(10). 2597–2606. 16 indexed citations
15.
Kena, Grace, et al.. (2014). The Condition of Education 2014. NCES 2014-083.. National Center for Education Statistics. 150 indexed citations
16.
Wang, Xiaolei, et al.. (2010). Application of economic tree species to afforestation of human settlement environment in new countryside, Shandong.. Dongbei linye daxue xuebao. 38(3). 115–118.
17.
Wang, Xiaolei, et al.. (2009). Temporal-spatial dynamic of a natural epizootic caused by Beauveria bassiana in a population of the masson-pine caterpillar, Dendrolimus punctatus.. Journal of Biological Control. 25(2). 129–133. 3 indexed citations
18.
Wang, Xiaolei, et al.. (2009). Interaction of natural epizootic caused by Beauveria bassiana and population of Dendrolimus punctatus.. Journal of Biological Control. 25(1). 16–20. 1 indexed citations
19.
Wang, Xiaolei. (2004). Analysis of Information Asymmetry between Client and Supervision in Construction Engineering Project. 1 indexed citations
20.
Wang, Xiaolei. (2004). Application of Katz Smoothing in Chinese Word Segmentation System. Jisuanji gongcheng.

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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