Xiaochang Li

2.4k total citations · 1 hit paper
56 papers, 1.3k citations indexed

About

Xiaochang Li is a scholar working on Animal Science and Zoology, Computational Mechanics and Genetics. According to data from OpenAlex, Xiaochang Li has authored 56 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Animal Science and Zoology, 10 papers in Computational Mechanics and 8 papers in Genetics. Recurrent topics in Xiaochang Li's work include Animal Nutrition and Physiology (10 papers), Gut microbiota and health (7 papers) and Genetic and phenotypic traits in livestock (7 papers). Xiaochang Li is often cited by papers focused on Animal Nutrition and Physiology (10 papers), Gut microbiota and health (7 papers) and Genetic and phenotypic traits in livestock (7 papers). Xiaochang Li collaborates with scholars based in China, Indonesia and United States. Xiaochang Li's co-authors include Henry Jenkins, Joshua Green, Paul Booth, Kristina Busse, Melissa A. Click, Sam Ford, Shijin Li, Ye Gao, Ning Yang and Junxiang Wang and has published in prestigious journals such as Journal of Cleaner Production, Scientific Reports and Journal of Materials Chemistry.

In The Last Decade

Xiaochang Li

52 papers receiving 1.2k citations

Hit Papers

Spreadable Media: Creating Value and Meaning in a Network... 2014 2026 2018 2022 2014 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaochang Li China 13 380 317 136 97 96 56 1.3k
Haohan Chen China 13 627 1.6× 550 1.7× 31 0.2× 129 1.3× 25 0.3× 54 1.4k
Jaemin Lee South Korea 24 628 1.7× 546 1.7× 31 0.2× 371 3.8× 24 0.3× 75 2.9k
Christopher Berry United States 26 502 1.3× 75 0.2× 48 0.4× 29 0.3× 87 0.9× 79 2.9k
Yifeng Hu China 12 320 0.8× 149 0.5× 18 0.1× 142 1.5× 50 0.5× 58 812
Mohsen Mosleh United States 22 986 2.6× 476 1.5× 11 0.1× 121 1.2× 99 1.0× 57 2.1k
Nam‐Jin Lee South Korea 16 545 1.4× 502 1.6× 57 0.4× 53 0.5× 78 0.8× 61 1.1k
Jonathan Gray United Kingdom 20 490 1.3× 333 1.1× 243 1.8× 44 0.5× 162 1.7× 79 1.3k
Qiyun Wang China 30 586 1.5× 304 1.0× 129 0.9× 92 0.9× 61 0.6× 130 3.2k
Insung Jung South Korea 25 225 0.6× 154 0.5× 106 0.8× 39 0.4× 36 0.4× 100 2.2k
Jae‐Eun Kim South Korea 28 494 1.3× 26 0.1× 50 0.4× 180 1.9× 89 0.9× 153 2.4k

Countries citing papers authored by Xiaochang Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaochang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaochang Li

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaochang Li. A scholar is included among the top collaborators of Xiaochang Li 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 Xiaochang Li. Xiaochang Li 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.
Song, Xiaogang, et al.. (2025). GDVIFNet: A generated depth and visible image fusion network with edge feature guidance for salient object detection. Neural Networks. 188. 107445–107445. 1 indexed citations
2.
Lan, Fangren, Qianqian Zhou, Xiaochang Li, et al.. (2025). Deciphering the coordinated roles of the host genome, duodenal mucosal genes, and microbiota in regulating complex traits in chickens. Microbiome. 13(1). 62–62.
3.
Xu, Zhiqiang, Xiaoqing Yang, Lixia Xu, et al.. (2025). Associations of Naples prognostic score with stroke in adults and all cause mortality among stroke patients. Scientific Reports. 15(1). 10718–10718. 1 indexed citations
4.
Guo, Xiaoli, Jianbo Li, Xiaochang Li, et al.. (2025). Synergy of genetics and lipid metabolism driving feed utilization efficiency in chickens. Poultry Science. 104(3). 104885–104885. 5 indexed citations
5.
Li, Xiaochang, Dailu Guan, Huaijun Zhou, et al.. (2024). Age-dependent genetic architectures of chicken body weight explored by multidimensional GWAS and molQTL analyses. Journal of genetics and genomics. 51(12). 1423–1434. 8 indexed citations
6.
Li, Xiaochang, et al.. (2024). Integrating Bioinformatics and Machine Learning for Genomic Prediction in Chickens. Genes. 15(6). 690–690. 3 indexed citations
7.
Li, Xiaochang, Xinwei Jiang, Guiqin Wu, et al.. (2024). Genetic patterns and genome-wide association analysis of eggshell quality traits of egg-type chicken across an extended laying period. Poultry Science. 103(4). 103458–103458. 7 indexed citations
8.
Zhang, Wenxin, Fangren Lan, Qianqian Zhou, et al.. (2024). Host genetics and gut microbiota synergistically regulate feed utilization in egg-type chickens. Journal of Animal Science and Biotechnology. 15(1). 123–123. 5 indexed citations
9.
Zhao, Hai, et al.. (2023). The interaction between cross-flow induced vibration and convection heat transfer in tube bundle at subcritical Reynolds number. Applied Thermal Engineering. 236. 121920–121920. 2 indexed citations
10.
Li, Xiaochang. (2023). “There’s No Data Like More Data”. Osiris. 38. 165–182. 5 indexed citations
11.
Jiang, Xinwei, Fangren Lan, Xiaochang Li, et al.. (2023). Host genetics and gut microbiota jointly regulate blood biochemical indicators in chickens. Applied Microbiology and Biotechnology. 107(24). 7601–7620. 13 indexed citations
12.
Li, Xiaochang & Xianjun Lyu. (2023). Study on the treatment of fluorine-containing wastewater by precipitation-adsorption process. Environment Protection Engineering. 49(2). 2 indexed citations
13.
Zhou, Qianqian, Fangren Lan, Guangqi Li, et al.. (2022). Genetic and microbiome analysis of feed efficiency in laying hens. Poultry Science. 102(4). 102393–102393. 13 indexed citations
14.
Li, Zuojia, Kui Feng, Jingwei Wang, et al.. (2021). Highly Efficient All‐Polymer Solar Cells Processed from Nonhalogenated Solvents. ChemSusChem. 14(17). 3553–3560. 5 indexed citations
15.
Zhou, Qianqian, Fangren Lan, Xiaochang Li, et al.. (2021). The Spatial and Temporal Characterization of Gut Microbiota in Broilers. Frontiers in Veterinary Science. 8. 712226–712226. 46 indexed citations
16.
Li, Xiaochang, Zhengjun Zhai, & Xin Ye. (2021). AOIO: Application Oriented I/O Optimization for Buffer Management. Symmetry. 13(4). 573–573.
17.
Wen, Chaoliang, Quanlin Li, Fangren Lan, et al.. (2021). Microbiota continuum along the chicken oviduct and its association with host genetics and egg formation. Poultry Science. 100(7). 101104–101104. 37 indexed citations
18.
Li, Xiaochang, et al.. (2019). Aerodynamic analysis of a step adjustment method for blade pitch of a VAWT. Journal of Wind Engineering and Industrial Aerodynamics. 188. 90–101. 31 indexed citations
19.
Li, Xiaochang. (2013). Incremental relative density-based clustering algorithm for mixture data sets. Kongzhi yu juece. 4 indexed citations
20.
Li, Xiaochang. (2013). Numerical simulation of single-phase flow in a PWR four-subchannel model with overall length. Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University. 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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