Xusheng Huang

2.7k total citations · 1 hit paper
161 papers, 1.8k citations indexed

About

Xusheng Huang is a scholar working on Neurology, Molecular Biology and Genetics. According to data from OpenAlex, Xusheng Huang has authored 161 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Neurology, 33 papers in Molecular Biology and 30 papers in Genetics. Recurrent topics in Xusheng Huang's work include Amyotrophic Lateral Sclerosis Research (42 papers), Neurogenetic and Muscular Disorders Research (26 papers) and Parkinson's Disease Mechanisms and Treatments (23 papers). Xusheng Huang is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (42 papers), Neurogenetic and Muscular Disorders Research (26 papers) and Parkinson's Disease Mechanisms and Treatments (23 papers). Xusheng Huang collaborates with scholars based in China, United States and Hong Kong. Xusheng Huang's co-authors include Chao Zhang, Ruifa Hu, Zhaohui Chen, Yanhong Jin, Jiatang Zhang, Shengyuan Yu, Fei Yang, Guanming Shi, Mark Robson and Fang Cui and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Xusheng Huang

148 papers receiving 1.7k citations

Hit Papers

Coupling coordination analysis of urban social vulnerabil... 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. Coupling coordination analysis of urban social vulnerability and human activity intensity
    2025 19 citations Xusheng 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
Xusheng Huang China 22 530 414 210 207 186 161 1.8k
James Gomes Canada 24 361 0.7× 525 1.3× 276 1.3× 170 0.8× 77 0.4× 74 1.9k
Xuelin Li China 23 259 0.5× 515 1.2× 258 1.2× 111 0.5× 61 0.3× 89 1.9k
Federico M. Farin United States 38 163 0.3× 1.2k 2.9× 228 1.1× 88 0.4× 158 0.8× 86 4.0k
David W. Killilea United States 29 112 0.2× 798 1.9× 169 0.8× 274 1.3× 85 0.5× 69 2.7k
Adam Stępień Poland 19 374 0.7× 322 0.8× 78 0.4× 58 0.3× 178 1.0× 147 1.7k
Jing Han China 28 159 0.3× 961 2.3× 110 0.5× 92 0.4× 51 0.3× 172 2.6k
Jin Xu China 31 102 0.2× 1.0k 2.5× 87 0.4× 103 0.5× 92 0.5× 171 3.0k
Robert C. Sills United States 30 132 0.2× 1.1k 2.7× 177 0.8× 47 0.2× 111 0.6× 137 2.8k
Hyo Jung Kim South Korea 20 214 0.4× 331 0.8× 135 0.6× 50 0.2× 46 0.2× 110 1.4k

Countries citing papers authored by Xusheng Huang

Since Specialization
Citations

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

Fields of papers citing papers by Xusheng Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xusheng Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Xusheng Huang. A scholar is included among the top collaborators of Xusheng 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 Xusheng Huang. Xusheng 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.
Liu, Hongyi, Yuhang Chen, Zhi Hu, et al.. (2025). Design and Experimental Research of an Underactuated Rigid–Flexible Coupling Mechanical Gripper. Machines. 13(11). 1068–1068.
2.
3.
Dong, Liang, et al.. (2024). Application of <i>F</i><sub>10.7</sub> Index Prediction Model Based on BiLSTM-attention and Chinese Autonomous Dataset. SHILAP Revista de lepidopterología. 44(2). 251–251.
4.
5.
Huang, Xusheng, et al.. (2024). Analysis of the main factors affecting the performance of multi-classification forecast model for solar flares. Astrophysics and Space Science. 369(8).
6.
Zhong, Jie, Chaodong Wang, Dan Zhang, et al.. (2024). PCDHA9 as a candidate gene for amyotrophic lateral sclerosis. Nature Communications. 15(1). 2189–2189. 3 indexed citations
7.
Zheng, Yanfang, et al.. (2024). A novel solar flare forecast model with deep convolution neural network and one-against-rest approach. Advances in Space Research. 74(7). 3467–3480. 4 indexed citations
8.
9.
Mao, Li, et al.. (2023). Serum Cystatin C is a potential biomarker for predicting amyotrophic lateral sclerosis survival. Neurological Sciences. 45(1). 197–201. 6 indexed citations
10.
Mao, Li, et al.. (2023). Evaluating the causal association between microRNAs and amyotrophic lateral sclerosis. Neurological Sciences. 44(10). 3567–3575. 4 indexed citations
11.
Yang, Fei, Yang Li, Shanshan Kong, et al.. (2022). Plasma lncRNA LOC338963 and mRNA AP3B2 are upregulated in paraneoplastic Lambert‐Eaton myasthenic syndrome. Muscle & Nerve. 66(2). 216–222.
12.
Kang, Dongwei, Rong‐Hua Luo, Xusheng Huang, et al.. (2022). Structure-Based Discovery and Characterization of a Preclinical Drug Candidate for the Treatment of HIV-1 Infection. Viruses. 14(11). 2390–2390. 2 indexed citations
13.
Zhou, Yali, et al.. (2022). [Cloning and functional characterization of a lysophosphatidic acid acyltransferase gene from Perilla frutescens].. PubMed. 38(8). 3014–3028. 5 indexed citations
14.
Cheng, Hao, Xin Pan, Zhe Shi, et al.. (2021). Chitin/corn stalk pith sponge stimulated hemostasis with erythrocyte absorption, platelet activation, and Ca2+-binding capabilities. Carbohydrate Polymers. 284. 118953–118953. 31 indexed citations
15.
Zhang, Peng, Jian He, Fei Wang, et al.. (2019). Hemojuvelin is a novel suppressor for Duchenne muscular dystrophy and age‐related muscle wasting. Journal of Cachexia Sarcopenia and Muscle. 10(3). 557–573. 17 indexed citations
16.
Fan, Shuangyi, et al.. (2017). Changes in intraepidermal nerve fiber and Langerhans cell densities in the plantar skin of rats after mercuric chloride exposure. Journal of the Peripheral Nervous System. 23(1). 17–22. 4 indexed citations
17.
Zhang, Chao, Ruifa Hu, Guanming Shi, et al.. (2015). Overuse or underuse? An observation of pesticide use in China. The Science of The Total Environment. 538. 1–6. 147 indexed citations
18.
Zhang, Jiatang, et al.. (2014). Significance of chloride contents in cerebrospinal fluid and plasma and their ratio in early diagnosis and differential diagnosis of central nervous system infections. Jiefangjun yixue zazhi. 39(5). 401–405.
19.
Huang, Xusheng, et al.. (2013). Painful peripheral neuropathy. 13(9). 755–759. 1 indexed citations
20.
Pu, Chuanqiang, et al.. (2009). [The determination of medical reference values for tumor markers in cerebrospinal fluid].. PubMed. 89(5). 355–6. 3 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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