Cong Huang

1.9k total citations · 1 hit paper
62 papers, 984 citations indexed

About

Cong Huang is a scholar working on Molecular Biology, Insect Science and Plant Science. According to data from OpenAlex, Cong Huang has authored 62 papers receiving a total of 984 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 28 papers in Insect Science and 15 papers in Plant Science. Recurrent topics in Cong Huang's work include Neurobiology and Insect Physiology Research (13 papers), Insect Resistance and Genetics (12 papers) and Insect and Arachnid Ecology and Behavior (10 papers). Cong Huang is often cited by papers focused on Neurobiology and Insect Physiology Research (13 papers), Insect Resistance and Genetics (12 papers) and Insect and Arachnid Ecology and Behavior (10 papers). Cong Huang collaborates with scholars based in China, United States and Germany. Cong Huang's co-authors include Guixiang Ji, Aihua Gu, Xinru Wang, Wanqiang Qian, Xi Qiao, Conghui Liu, Zaiyuan Li, Wanxue Liu, Longsheng Xing and Yu Xi and has published in prestigious journals such as Journal of Biological Chemistry, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Cong Huang

57 papers receiving 969 citations

Hit Papers

Diffusion along perivascu... 2022 2026 2023 2024 2022 25 50 75 100
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. Diffusion along perivascular spaces as marker for impairment of glymphatic system in Parkinson’s disease
    2022 112 citations Cong Huang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cong Huang China 14 439 291 231 181 161 62 984
Wenfeng Chen China 21 321 0.7× 156 0.5× 671 2.9× 307 1.7× 155 1.0× 94 1.7k
Naoko Kawamura Japan 18 264 0.6× 203 0.7× 124 0.5× 66 0.4× 274 1.7× 68 853
Kate M. Baldwin United States 13 407 0.9× 242 0.8× 66 0.3× 146 0.8× 212 1.3× 20 735
Daniela Carvalho dos Santos Brazil 17 231 0.5× 195 0.7× 207 0.9× 41 0.2× 56 0.3× 58 796
Günter Kamp Germany 18 244 0.6× 158 0.5× 41 0.2× 28 0.2× 154 1.0× 29 755
Anqi Zhu United States 8 627 1.4× 33 0.1× 139 0.6× 47 0.3× 133 0.8× 17 1.2k
Aiqing Li China 16 577 1.3× 230 0.8× 84 0.4× 225 1.2× 280 1.7× 50 1.4k

Countries citing papers authored by Cong Huang

Since Specialization
Citations

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

Fields of papers citing papers by Cong Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cong Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Cong Huang. A scholar is included among the top collaborators of Cong Huang 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 Cong Huang. Cong Huang 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.
Jiao, Binbin, et al.. (2025). Detection of fungal disease in citrus fruit based on hyperspectral imaging. Information Processing in Agriculture. 12(4). 456–465. 4 indexed citations
2.
3.
Xu, Bo, Guifen Zhang, Wanxue Liu, et al.. (2025). Expression and sex pheromone-binding characteristics of pheromone-binding protein 3 in Tuta absoluta (Lepidoptera: Gelechiidae). Pesticide Biochemistry and Physiology. 210. 106404–106404. 3 indexed citations
4.
Zhou, Yanan, Cong Huang, Rui Tang, et al.. (2024). Molecular and Functional Characterization of Three General Odorant-Binding Protein 2 Genes in Cydia pomonella (Lepidoptera: Tortricidae). International Journal of Molecular Sciences. 25(3). 1746–1746. 4 indexed citations
5.
Tang, Rui, et al.. (2024). Tandemly expanded OR17b in Himalaya ghost moth facilitates larval food allocation via olfactory reception of plant-derived tricosane. International Journal of Biological Macromolecules. 268(Pt 1). 131503–131503. 2 indexed citations
6.
Ye, Xinxin, et al.. (2024). Changes of college students’ psychological stress during the COVID-19 pandemic in China: A two-wave repeated survey. Journal of Health Psychology. 30(4). 736–748. 1 indexed citations
7.
Zhang, Huifang, Xiaodi Wang, Dongfang Ma, et al.. (2024). DNA methylase 1 influences temperature responses and development in the invasive pest Tuta absoluta. Insect Molecular Biology. 33(5). 503–515. 3 indexed citations
8.
Chen, Huiling, Yiqi Huang, Zizhao Zhang, et al.. (2023). Plant image recognition with deep learning: A review. Computers and Electronics in Agriculture. 212. 108072–108072. 64 indexed citations
9.
10.
Zhang, Guifen, Yibo Zhang, Yusheng Wang, et al.. (2023). Determination of Hourly Distribution of Tuta absoluta (Meyrick) (Lepidoptera: Gelechiidae) Using Sex Pheromone and Ultraviolet Light Traps in Protected Tomato Crops. Horticulturae. 9(3). 402–402. 2 indexed citations
11.
Huang, Cong, Xiaoyu Ning, Bo Liu, et al.. (2023). Transcriptome analysis used to identify and characterize odorant binding proteins in Agasicles hygrophila (Coleoptera: Chrysomelidae). Journal of Insect Science. 23(5). 2 indexed citations
12.
Ye, Ji, et al.. (2023). CO2 gradient domestication improved high-concentration CO2 tolerance and photoautotrophic growth of Euglena gracilis. The Science of The Total Environment. 868. 161629–161629. 19 indexed citations
13.
Ye, Ji, Cong Huang, Gongda Chen, et al.. (2022). Light Conditions Determine Optimal CO2 Concentrations for Nannochloropsis oceanica Growth with Carbon Fixation. ACS Sustainable Chemistry & Engineering. 10(27). 8799–8814. 8 indexed citations
14.
Yan, Ying, Cong Huang, Bo Liu, et al.. (2021). Highly Efficient Temperature Inducible CRISPR-Cas9 Gene Targeting in Drosophila suzukii. International Journal of Molecular Sciences. 22(13). 6724–6724. 11 indexed citations
15.
Liu, Conghui, Yuwei Ren, Zaiyuan Li, et al.. (2020). Giant African snail genomes provide insights into molluscan whole‐genome duplication and aquatic–terrestrial transition. Molecular Ecology Resources. 21(2). 478–494. 48 indexed citations
16.
Shen, Chao, et al.. (2019). Development and evaluation of InDel markers in cotton based on whole-genome re-sequencing data. ACTA AGRONOMICA SINICA. 45(2). 196–203. 4 indexed citations
17.
Huang, Cong, Xiaofang Li, Dingguo Li, & Zhongxu Lin. (2018). QTL Mapping for Yield, Growth Period and Plant Height Traits Using MAGIC Population in Upland Cotton. ACTA AGRONOMICA SINICA. 44(9). 1320–1333. 1 indexed citations
18.
Li, Zaiyuan, et al.. (2018). Study on the optimal field trapping period of Bactrocera minax.. Guoshu xuebao. 35(11). 1406–1412.
19.
Srinivasan, R., et al.. (2017). Towards developing an integrated pest management strategy for striped flea beetle on radish. Mysore Journal of Agricultural Sciences. 1 indexed citations
20.
Ji, Guixiang, Yan Long, Yong Zhou, et al.. (2012). Common variants in mismatch repair genes associated with increased risk of sperm DNA damage and male infertility. BMC Medicine. 10(1). 49–49. 75 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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