Zhujun Wang

1.1k total citations · 1 hit paper
27 papers, 748 citations indexed

About

Zhujun Wang is a scholar working on Ecology, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Zhujun Wang has authored 27 papers receiving a total of 748 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Ecology, 10 papers in Molecular Biology and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Zhujun Wang's work include Microbial Community Ecology and Physiology (9 papers), Gut microbiota and health (6 papers) and Genomics and Phylogenetic Studies (3 papers). Zhujun Wang is often cited by papers focused on Microbial Community Ecology and Physiology (9 papers), Gut microbiota and health (6 papers) and Genomics and Phylogenetic Studies (3 papers). Zhujun Wang collaborates with scholars based in China, France and United States. Zhujun Wang's co-authors include Ye Deng, Kai Feng, Shang Wang, Danrui Wang, Qing He, Xi Peng, Wenli Shen, Zheng Zhang, Songsong Gu and Qiulong Hu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and The Science of The Total Environment.

In The Last Decade

Zhujun Wang

23 papers receiving 738 citations

Hit Papers

iNAP: An integrated network analysis pipeline for microbi... 2022 2026 2023 2024 2022 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
Zhujun Wang China 13 340 273 141 135 134 27 748
Susana S. Santos Denmark 15 264 0.8× 273 1.0× 235 1.7× 150 1.1× 145 1.1× 22 742
Victor Satler Pylro Brazil 19 390 1.1× 436 1.6× 271 1.9× 111 0.8× 151 1.1× 59 1.1k
Rita Sipos Hungary 10 309 0.9× 304 1.1× 102 0.7× 62 0.5× 134 1.0× 19 671
Jae-Chang Cho South Korea 10 477 1.4× 384 1.4× 187 1.3× 102 0.8× 81 0.6× 13 803
Jong‐Shik Kim South Korea 15 365 1.1× 336 1.2× 326 2.3× 140 1.0× 132 1.0× 79 980
Bridget B. McGivern United States 6 481 1.4× 353 1.3× 182 1.3× 57 0.4× 81 0.6× 13 799
Mehdi Layeghifard Canada 8 307 0.9× 399 1.5× 315 2.2× 88 0.7× 54 0.4× 17 977
Daniel Morais Czechia 14 275 0.8× 268 1.0× 313 2.2× 112 0.8× 115 0.9× 28 847
Guillaume Tahon Belgium 11 380 1.1× 362 1.3× 74 0.5× 26 0.2× 65 0.5× 16 694
Sevasti Filippidou Switzerland 12 209 0.6× 209 0.8× 132 0.9× 39 0.3× 66 0.5× 24 545

Countries citing papers authored by Zhujun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zhujun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhujun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhujun Wang. A scholar is included among the top collaborators of Zhujun 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 Zhujun Wang. Zhujun 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.
Liang, Xiao, et al.. (2025). Real-time semantic octree mapping under aerial-ground cooperative system. Intelligent Service Robotics. 18(3). 579–594. 1 indexed citations
2.
Zhang, Lejun, Bo Zhang, Zhujun Wang, et al.. (2024). A blockchain-oriented covert communication technology with controlled security level based on addressing confusion ciphertext. Frontiers of Computer Science. 19(2).
3.
Zhang, Lejun, Bo Zhang, Zhujun Wang, et al.. (2024). Research on Covert Communication Technology Based on Matrix Decomposition of Digital Currency Transaction Amount. KSII Transactions on Internet and Information Systems. 18(4). 3 indexed citations
5.
Wang, Zhujun, Lejun Zhang, Jing Qiu, et al.. (2023). A covert channel over blockchain based on label tree without long waiting times. Computer Networks. 232. 109843–109843. 7 indexed citations
6.
Wang, Danrui, Shang Wang, Xiongfeng Du, et al.. (2022). ddPCR surpasses classical qPCR technology in quantitating bacteria and fungi in the environment. Molecular Ecology Resources. 22(7). 2587–2598. 42 indexed citations
7.
Wang, Zhujun, Kai Feng, Hao Yu, et al.. (2022). Homogeneous Selection and Dispersal Limitation Dominate the Effect of Soil Strata Under Warming Condition. Frontiers in Microbiology. 13. 801083–801083. 15 indexed citations
8.
Wang, Shi, Zhujun Wang, Yi Jiang, & Huayu Wang. (2021). Hierarchical Annotation Event Extraction Method in Multiple Scenarios. Wireless Communications and Mobile Computing. 2021(1). 1 indexed citations
9.
Li, Shuzhen, Ye Deng, Xiongfeng Du, et al.. (2021). Sampling cores and sequencing depths affected the measurement of microbial diversity in soil quadrats. The Science of The Total Environment. 767. 144966–144966. 19 indexed citations
10.
Li, Shuzhen, Zhujun Wang, Yuanyuan Wang, et al.. (2020). Effects of graphene oxide on PCR amplification for microbial community survey. BMC Microbiology. 20(1). 278–278. 4 indexed citations
11.
Wu, Yueni, Kai Feng, Ziyan Wei, Zhujun Wang, & Ye Deng. (2020). ARDEP, a Rapid Degenerate Primer Design Pipeline Based on k-mers for Amplicon Microbiome Studies. International Journal of Environmental Research and Public Health. 17(16). 5958–5958. 4 indexed citations
12.
Du, Xiongfeng, Ye Deng, Shuzhen Li, et al.. (2020). Steeper spatial scaling patterns of subsoil microbiota are shaped by deterministic assembly process. Molecular Ecology. 30(4). 1072–1085. 61 indexed citations
13.
Wang, Zhujun, Mengting Yuan, Hao Yu, et al.. (2019). Elevated temperature overrides the effects of N amendment in Tibetan grassland on soil microbiome. Soil Biology and Biochemistry. 136. 107532–107532. 27 indexed citations
14.
Wang, Shang, Zhujun Wang, Zhaojing Zhang, et al.. (2019). Soil microbiome mediated nutrients decline during forest degradation process. Soil Ecology Letters. 1(1-2). 59–71. 32 indexed citations
15.
Wu, Yueni, Yuzhan Yang, Lei Cao, et al.. (2018). Habitat environments impacted the gut microbiome of long-distance migratory swan geese but central species conserved. Scientific Reports. 8(1). 13314–13314. 73 indexed citations
16.
Wang, Zhujun, Qian Li, Zheming Chen, et al.. (2018). Enhanced Comprehensive Properties of Nylon-6 Nanocomposites by Aniline-Modified Boron Nitride Nanosheets. Industrial & Engineering Chemistry Research. 57(32). 11005–11013. 21 indexed citations
17.
Wang, Zhujun & Guangwen Zhang. (2013). Digital image retrieval technology based on multi-feature. 8. 16–19. 1 indexed citations
18.
Wang, Zhujun, Lei Yang, Xiaoyu Wu, & Ying Zhang. (2012). A Survey on Video Caption Extraction Technology. 25. 713–716. 4 indexed citations
19.
Zhang, Ying, Lei Yang, & Zhujun Wang. (2012). Research on Video Image Stitching Technology Based on SURF. 335–338. 4 indexed citations
20.
Wang, Zhujun, et al.. (2007). Mutual Anonymous Communications: A New Covert Channel Based on Splitting Tree MAC. 2531–2535. 13 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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