Xinxing Xu

5.6k total citations · 1 hit paper
104 papers, 2.6k citations indexed

About

Xinxing Xu is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Food Science. According to data from OpenAlex, Xinxing Xu has authored 104 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Radiology, Nuclear Medicine and Imaging, 20 papers in Computer Vision and Pattern Recognition and 20 papers in Food Science. Recurrent topics in Xinxing Xu's work include Meat and Animal Product Quality (17 papers), Retinal Imaging and Analysis (13 papers) and Biochemical Analysis and Sensing Techniques (12 papers). Xinxing Xu is often cited by papers focused on Meat and Animal Product Quality (17 papers), Retinal Imaging and Analysis (13 papers) and Biochemical Analysis and Sensing Techniques (12 papers). Xinxing Xu collaborates with scholars based in China, Singapore and United States. Xinxing Xu's co-authors include Jihong Wu, Dong Xu, Fei Lao, Shuang Bi, Yuanhui Zhao, Xiaojun Liao, Dongsheng Luo, Ivor W. Tsang, Bingbing Wu and Haiyan Gao and has published in prestigious journals such as Nature Medicine, SHILAP Revista de lepidopterología and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Xinxing Xu

96 papers receiving 2.6k citations

Hit Papers

Research progress of fishy odor in aquatic products: From... 2023 2026 2024 2025 2023 25 50 75
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. Research progress of fishy odor in aquatic products: From substance identification, formation mechanism, to elimination pathway
    2023 80 citations Li Liu, Yuanhui Zhao et al. Food Research International profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinxing Xu China 31 802 508 446 437 414 104 2.6k
Fengping An China 27 617 0.8× 260 0.5× 240 0.5× 322 0.7× 407 1.0× 105 2.0k
Haotian Liu China 30 1.6k 2.1× 223 0.4× 214 0.5× 625 1.4× 1.1k 2.7× 108 3.1k
Yongwei Wang China 33 214 0.3× 211 0.4× 307 0.7× 1.0k 2.3× 369 0.9× 157 3.2k
Muhan Zhang China 27 384 0.5× 281 0.6× 146 0.3× 848 1.9× 766 1.9× 98 2.9k
J. Blasco Spain 46 787 1.0× 216 0.4× 3.0k 6.7× 502 1.1× 359 0.9× 136 6.0k
H. Das United States 26 764 1.0× 336 0.7× 211 0.5× 50 0.1× 73 0.2× 73 2.3k
Jitendra Paliwal Canada 37 931 1.2× 138 0.3× 1.8k 4.1× 343 0.8× 385 0.9× 188 4.3k
Juan Gómez‐Sanchís Spain 24 308 0.4× 176 0.3× 1.1k 2.4× 171 0.4× 193 0.5× 54 2.7k
Min Huang China 30 321 0.4× 157 0.3× 897 2.0× 244 0.6× 192 0.5× 135 2.7k

Countries citing papers authored by Xinxing Xu

Since Specialization
Citations

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

Fields of papers citing papers by Xinxing Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinxing Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Xinxing Xu. A scholar is included among the top collaborators of Xinxing Xu 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 Xinxing Xu. Xinxing Xu 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.
Su, Fanyun, Guangli Liu, Xiaojian Liu, et al.. (2025). In-situ CO sustained-release enhancing carbothermal reduction process for selective extraction of lithium from spent LiNi Co Mn O powder. Separation and Purification Technology. 363. 132307–132307. 1 indexed citations
2.
Wang, Xutao, et al.. (2025). Mitigating contaminant-induced surface degradation in TOPCon solar cells: Mechanisms, impacts, and mitigation. Solar Energy Materials and Solar Cells. 286. 113558–113558. 2 indexed citations
3.
Goh, Jocelyn Hui Lin, Xiaofeng Lei, Miao-Li Chee, et al.. (2025). Multi-Comparison of Different Ocular Imaging Modality-based Deep Learning Models for Visually Significant Cataract Detection. Ophthalmology Science. 5(6). 100837–100837.
4.
Li, Jiayu, Ke Li, Xinxing Xu, et al.. (2024). Hypoglycemic peptide preparation from Bacillus subtilis fermented with Pyropia: Identification, molecular docking, and in vivo confirmation. Food Chemistry. 463(Pt 1). 141096–141096. 4 indexed citations
5.
Liu, Li, Tianhong Liu, Hongjiang Wang, et al.. (2024). Identification and validation of core microbes for the formation of the characteristic flavor of fermented oysters (Crassostrea gigas). Food Chemistry. 449. 138970–138970. 7 indexed citations
6.
7.
Tan, Nicholas, et al.. (2024). RLPeri: Accelerating Visual Perimetry Test with Reinforcement Learning and Convolutional Feature Extraction. Proceedings of the AAAI Conference on Artificial Intelligence. 38(20). 22401–22409.
8.
Goh, Jocelyn Hui Lin, Sahana Srinivasan, Xiaofeng Lei, et al.. (2024). Comparative Analysis of Vision Transformers and Conventional Convolutional Neural Networks in Detecting Referable Diabetic Retinopathy. SHILAP Revista de lepidopterología. 4(6). 100552–100552. 9 indexed citations
9.
Xu, Xinxing, et al.. (2024). Research on the initial tensile stiffness of T‐stub based on correlation. Engineering Reports. 6(11).
10.
Wang, Meng, Kai Yu, Chun-Mei Feng, et al.. (2024). Reliable Federated Disentangling Network for Non-IID Domain Feature. IEEE Transactions on Big Data. 11(2). 648–658.
11.
Yew, Samantha Min Er, Xiaofeng Lei, Yibing Chen, et al.. (2024). Deep Imbalanced Regression Model for Predicting Refractive Error from Retinal Photos. Ophthalmology Science. 5(2). 100659–100659. 1 indexed citations
12.
Zhou, Menghan, Meng Wang, Rick Siow Mong Goh, et al.. (2023). Use of artificial intelligence (AI) in the identification and quantification of hepatic steatosis in patients with non-alcoholic fatty liver disease (NAFLD). Pathology. 55. S80–S80. 1 indexed citations
13.
Liu, Li, Yuanhui Zhao, Mingyong Zeng, & Xinxing Xu. (2023). Research progress of fishy odor in aquatic products: From substance identification, formation mechanism, to elimination pathway. Food Research International. 178. 113914–113914. 80 indexed citations breakdown →
14.
Li, Zhaoyong, et al.. (2023). Effects of Sous-Vide on Quality, Structure and Flavor Characteristics of Tilapia Fillets. Molecules. 28(24). 8075–8075. 11 indexed citations
15.
Soh, Zhi Da, Monisha E. Nongpiur, Marco Yu, et al.. (2023). Deep Learning-based Quantification of Anterior Segment OCT Parameters. SHILAP Revista de lepidopterología. 4(1). 100360–100360. 6 indexed citations
16.
Duan, Haoran, et al.. (2023). DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost Volume. IEEE Transactions on Circuits and Systems for Video Technology. 34(4). 2564–2576. 13 indexed citations
17.
Soh, Zhi Da, Menghan Zhou, Shivani Majithia, et al.. (2023). From 2 dimensions to 3rd dimension: Quantitative prediction of anterior chamber depth from anterior segment photographs via deep-learning. SHILAP Revista de lepidopterología. 2(2). e0000193–e0000193. 7 indexed citations
18.
Vasseneix, Caroline, Simon Nusinovici, Xinxing Xu, et al.. (2023). Deep Learning System Outperforms Clinicians in Identifying Optic Disc Abnormalities. Journal of Neuro-Ophthalmology. 43(2). 159–167. 8 indexed citations
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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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