Quanchao Wang

1.8k total citations · 1 hit paper
52 papers, 877 citations indexed

About

Quanchao Wang is a scholar working on Aquatic Science, Genetics and Global and Planetary Change. According to data from OpenAlex, Quanchao Wang has authored 52 papers receiving a total of 877 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Aquatic Science, 16 papers in Genetics and 14 papers in Global and Planetary Change. Recurrent topics in Quanchao Wang's work include Aquaculture Nutrition and Growth (12 papers), Marine Bivalve and Aquaculture Studies (12 papers) and Genetic and phenotypic traits in livestock (8 papers). Quanchao Wang is often cited by papers focused on Aquaculture Nutrition and Growth (12 papers), Marine Bivalve and Aquaculture Studies (12 papers) and Genetic and phenotypic traits in livestock (8 papers). Quanchao Wang collaborates with scholars based in China, France and Australia. Quanchao Wang's co-authors include Yang Yu, Fuhua Li, Jianhai Xiang, Xiaojun Zhang, Baoquan Li, Qian Zhang, Hao Huang, Jianbo Yuan, ShuaiFei Chen and Liang Fang and has published in prestigious journals such as Scientific Reports, Journal of Materials Chemistry A and Journal of the American Ceramic Society.

In The Last Decade

Quanchao Wang

48 papers receiving 862 citations

Hit Papers

Geometry‐Aware 3D Point Cloud Learning for Precise Cuttin... 2025 2026 2025 5 10 15
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Geometry‐Aware 3D Point Cloud Learning for Precise Cutting‐Point Detection in Unstructured Field Environments
    2025 19 citations Hongjun Wang, Gengming Zhang et al. Journal of Field Robotics profile →

Peers

Quanchao Wang
Keyi Ma China
Yongtao Tang China
Juntao Hu China
Kai Song China
Elise Hennebert Belgium
Xuemei Qiu China
Agnieszka P. Lipinska France
Junxia Mao China
Min Hui China
Crisalejandra Rivera-Pérez United States
Keyi Ma China
Quanchao Wang
Citations per year, relative to Quanchao Wang Quanchao Wang (= 1×) peers Keyi Ma

Countries citing papers authored by Quanchao Wang

Since Specialization
Citations

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

Fields of papers citing papers by Quanchao Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quanchao Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Quanchao Wang. A scholar is included among the top collaborators of Quanchao 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 Quanchao Wang. Quanchao 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.
Wang, Hongjun, Gengming Zhang, Kewei Hu, et al.. (2025). Geometry‐Aware 3D Point Cloud Learning for Precise Cutting‐Point Detection in Unstructured Field Environments. Journal of Field Robotics. 42(7). 3063–3076. 19 indexed citations breakdown →
2.
3.
Wang, Quanchao, et al.. (2024). YOLOv8n-CSE: A Model for Detecting Litchi in Nighttime Environments. Agronomy. 14(9). 1924–1924. 1 indexed citations
4.
Wang, Quanchao, et al.. (2024). The effect of Torreya grandis inter-cropping with Polygonatum sibiricum on soil microbial community. Frontiers in Microbiology. 15. 1487619–1487619. 4 indexed citations
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6.
Wang, Yanxia, et al.. (2023). Pathogenicity and immune response of the sea urchin Mesocentrotus nudus to Vibrio coralliilyticus infection. Aquaculture. 572. 739570–739570. 6 indexed citations
7.
Wang, Jinjing, Lu Xia, Min Chen, et al.. (2023). Production traits and fertility of reciprocal hybrids between Argopecten irradians irradians and A. i. concentricus. Journal of Oceanology and Limnology. 42(1). 304–315. 1 indexed citations
8.
Wang, Yuan, Chunde Wang, Quanchao Wang, et al.. (2023). Molecular characteristics of IGF and IGF1R genes and their potential roles on longevity in two scallops with distinct lifespans. Aquaculture Reports. 33. 101812–101812.
9.
Li, Donghai, Yue Zhang, Junru Liu, et al.. (2023). Melatonin regulates microglial polarization and protects against ischemic stroke-induced brain injury in mice. Experimental Neurology. 367. 114464–114464. 19 indexed citations
10.
Wang, Quanchao, et al.. (2023). The lysosome-phagosome pathway mediates immune regulatory mechanisms in Mesocentrotus nudus against Vibrio coralliilyticus infection. Fish & Shellfish Immunology. 139. 108864–108864. 21 indexed citations
11.
Wang, Quanchao, et al.. (2023). Genome-wide identification and expression analysis of Dmrt genes in bivalves. BMC Genomics. 24(1). 457–457. 2 indexed citations
12.
Chen, Min, et al.. (2023). Potential Involvement of DNA Methylation in Hybrid Sterility in Hermaphroditic Argopecten Scallops. Marine Biotechnology. 25(5). 701–717. 2 indexed citations
13.
Yu, Yang, Quanchao Wang, Z. David Luo, et al.. (2021). Identification of Growth-Associated Genes by Genome-Wide Association Study and Their Potential Application in the Breeding of Pacific White Shrimp (Litopenaeus vannamei). Frontiers in Genetics. 12. 611570–611570. 29 indexed citations
14.
Wang, Quanchao, Yang Yu, Qian Zhang, et al.. (2020). The Polymorphism of LvMMD2 and Its Association with Growth Traits in Litopenaeus vannamei. Marine Biotechnology. 22(4). 564–571. 17 indexed citations
15.
16.
Yu, Yang, Quanchao Wang, Qian Zhang, et al.. (2019). Genome Scan for Genomic Regions and Genes Associated with Growth Trait in Pacific White Shrimp Litopeneaus vannamei. Marine Biotechnology. 21(3). 374–383. 52 indexed citations
17.
Wang, Quanchao, Yang Yu, Jianbo Yuan, et al.. (2017). Effects of marker density and population structure on the genomic prediction accuracy for growth trait in Pacific white shrimp Litopenaeus vannamei. BMC Genetics. 18(1). 45–45. 77 indexed citations
18.
Yu, Yang, Xiaojun Zhang, Jianbo Yuan, et al.. (2017). Identification of Sex-determining Loci in Pacific White Shrimp Litopeneaus vannamei Using Linkage and Association Analysis. Marine Biotechnology. 19(3). 277–286. 57 indexed citations
19.
Li, Baoquan, Xiaojing Li, Tjeerd J. Bouma, et al.. (2017). Analysis of macrobenthic assemblages and ecological health of Yellow River Delta, China, using AMBI & M-AMBI assessment method. Marine Pollution Bulletin. 119(2). 23–32. 35 indexed citations
20.
Li, Baoquan, et al.. (2013). Assessing the benthic ecological status in the stressed coastal waters of Yantai, Yellow Sea, using AMBI and M-AMBI. Marine Pollution Bulletin. 75(1-2). 53–61. 28 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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