Xiaobing Wu

3.1k total citations
162 papers, 2.3k citations indexed

About

Xiaobing Wu is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Genetics. According to data from OpenAlex, Xiaobing Wu has authored 162 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 35 papers in Electrical and Electronic Engineering and 26 papers in Genetics. Recurrent topics in Xiaobing Wu's work include Genomics and Phylogenetic Studies (24 papers), Energy Harvesting in Wireless Networks (17 papers) and Energy Efficient Wireless Sensor Networks (15 papers). Xiaobing Wu is often cited by papers focused on Genomics and Phylogenetic Studies (24 papers), Energy Harvesting in Wireless Networks (17 papers) and Energy Efficient Wireless Sensor Networks (15 papers). Xiaobing Wu collaborates with scholars based in China, United States and Sweden. Xiaobing Wu's co-authors include Guihai Chen, Haipeng Dai, Peng Yan, Lijie Xu, Sajal K. Das, Shan Lin, Zhigang Jiang, Tian He, Lei Wei and Yunhuai Liu and has published in prestigious journals such as Nature Communications, PLoS ONE and Diabetes Care.

In The Last Decade

Xiaobing Wu

145 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaobing Wu China 27 831 591 539 360 161 162 2.3k
Daniel J. Perry United States 29 252 0.3× 339 0.6× 680 1.3× 924 2.6× 105 0.7× 96 3.1k
Yangfan Wang China 22 87 0.1× 325 0.5× 219 0.4× 232 0.6× 130 0.8× 83 1.3k
Dawei Sun China 24 138 0.2× 193 0.3× 590 1.1× 66 0.2× 705 4.4× 84 2.2k
Zhen Li China 24 646 0.8× 68 0.1× 125 0.2× 51 0.1× 126 0.8× 112 1.9k
Naoki Mori Japan 39 148 0.2× 57 0.1× 1.3k 2.4× 788 2.2× 181 1.1× 338 5.1k
Yiping Li China 22 86 0.1× 101 0.2× 905 1.7× 262 0.7× 151 0.9× 158 2.4k
Zhenlong Wang China 22 72 0.1× 42 0.1× 560 1.0× 176 0.5× 206 1.3× 173 1.9k
Moussa Diallo Senegal 19 144 0.2× 99 0.2× 119 0.2× 158 0.4× 149 0.9× 141 1.3k
Martin Hölzer Germany 22 181 0.2× 140 0.2× 672 1.2× 86 0.2× 294 1.8× 106 1.6k
Wonjung Kim South Korea 31 526 0.6× 34 0.1× 532 1.0× 140 0.4× 30 0.2× 106 2.3k

Countries citing papers authored by Xiaobing Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobing Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaobing Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaobing Wu. A scholar is included among the top collaborators of Xiaobing Wu 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 Xiaobing Wu. Xiaobing Wu 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.
Li, Wengang, Jingru Liu, Ke Sun, et al.. (2025). Size-dependent effects of the intestinal microbiota in juvenile Chinese alligators: implications for species protection. Frontiers in Zoology. 22(1). 15–15.
2.
Chen, Si, et al.. (2025). Latent profile analysis and influence factor study of well-being among nurses in China: a cross-sectional study. BMJ Open. 15(5). e095858–e095858. 2 indexed citations
3.
Wu, Xiaoyan, Bowang Chen, Yi‐Long Wu, et al.. (2024). Associations between Chinese visceral adiposity index and risks of all‐cause and cause‐specific mortality: A population‐based cohort study. Diabetes Obesity and Metabolism. 26(4). 1264–1272. 14 indexed citations
4.
Wu, Xiaobing, Guan Yang, Jianbin Ye, et al.. (2019). Association between syphilis seroprevalence and age among blood donors in Southern China: an observational study from 2014 to 2017. BMJ Open. 9(11). e024393–e024393. 11 indexed citations
5.
Pan, Tao, Hui Wang, Pablo Orozco‐terWengel, et al.. (2019). Long-term sky islands generate highly divergent lineages of a narrowly distributed stream salamander (Pachyhynobius shangchengensis) in mid-latitude mountains of East Asia. BMC Evolutionary Biology. 19(1). 1–1. 34 indexed citations
6.
Wu, Xiaobing, et al.. (2016). Poor awareness of syphilis prevention and treatment knowledge among six different populations in south China. BMC Public Health. 16(1). 287–287. 17 indexed citations
7.
Wang, Xifeng, Gang Chen, Chenglin Zhang, et al.. (2016). A Comprehensive Analysis of the Phylogeny, Genomic Organization and Expression of Immunoglobulin Light Chain Genes in Alligator sinensis, an Endangered Reptile Species. PLoS ONE. 11(2). e0147704–e0147704. 4 indexed citations
8.
Huang, Gangfeng, Xiaobing Wu, Li‐Ping Bai, et al.. (2015). Improved O2‐tolerance in variants of a H2‐evolving [NiFe]‐hydrogenase from Klebsiella oxytoca HP1. FEBS Letters. 589(8). 910–918. 8 indexed citations
9.
Zhang, Huabin, et al.. (2014). The complete mitochondrial genome ofParadoxornis webbianus(Passeriformes, Muscicapidae). Mitochondrial DNA. 26(6). 879–880. 12 indexed citations
10.
Zhang, Huabin, et al.. (2014). The complete mitochondrial genome of Garrulax perspicillatus (Passeriformes, Timaliidae). Mitochondrial DNA Part A. 27(2). 1265–1266. 5 indexed citations
11.
Li, Yongmin, et al.. (2014). The complete mitochondrial genome of Microhyla pulchra (Amphidia, Anura, Microhylidae). Mitochondrial DNA Part A. 27(1). 40–41. 14 indexed citations
12.
Wu, Xiaobing, et al.. (2012). Present Status of Protection on Chinese Alligator’s Population and Habitat. 47(1). 133–136. 4 indexed citations
13.
Wu, Xiaobing, et al.. (2011). DNA-based species identification for faecal samples: An application on the mammalian survey in Mountain Huangshan Scenic Spot. AFRICAN JOURNAL OF BIOTECHNOLOGY. 10(57). 12134–12141. 4 indexed citations
14.
Wu, Xiaobing. (2010). Sequence Variation at Exon 2 of MHC ClassIIB Gene in Nile Crocodile(Crocodylus niloticus). Jiguang shengwu xuebao. 1 indexed citations
15.
Wu, Xiaobing. (2009). Design of the monitoring system for main fan in coal mines based on intelligent modules. Mining & Processing Equipment.
16.
Wu, Xiaobing, et al.. (2009). Epidemiological analysis of STDs in Shenzhen City in 2008.. Zhongguo redai yixue. 9(9). 1856–1894. 2 indexed citations
17.
Wu, Xiaobing. (2009). Immunohistochemical study on endocrine cells in the digestive tract of Trachemys scripta elegans. Freshwater Fisheries. 1 indexed citations
18.
Ma, Rongrong, et al.. (2008). Identification and phylogenetic analysis of a bacterium isolated from the cloaca of Chinese alligator. AFRICAN JOURNAL OF BIOTECHNOLOGY. 7(13). 7 indexed citations
19.
Wu, Xiaobing. (2006). Proceedings of Immediate Early Gene ZENK in Gene Function and Application. Journal of Anhui Normal University.
20.
Wang, Yiquan, et al.. (2001). The molecular phylogeny of four crocodilians based on the sequence of mitochondrial ND4 and Cyt b gene. 23(5). 435–438. 1 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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