Xujing Yao

914 total citations · 1 hit paper
11 papers, 617 citations indexed

About

Xujing Yao is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xujing Yao has authored 11 papers receiving a total of 617 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xujing Yao's work include AI in cancer detection (4 papers), COVID-19 diagnosis using AI (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Xujing Yao is often cited by papers focused on AI in cancer detection (4 papers), COVID-19 diagnosis using AI (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Xujing Yao collaborates with scholars based in United Kingdom, United States and Czechia. Xujing Yao's co-authors include Yudong Zhang, Shuihua Wang‎, J. M. Górriz, Xiang Yu, Qinghua Zhou, Francisco J. Martínez, Javier Ramı́rez, Hua Hu, Min Li and C. Jiménez-Mesa and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Information Fusion.

In The Last Decade

Xujing Yao

10 papers receiving 599 citations

Hit Papers

align trajectories

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.

Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation

2020 313 citations Yudong Zhang, Zhengchao Dong et al. Information Fusion profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xujing Yao United Kingdom	8	201	179	165	95	82	11	617
Xianqing Chen China	9	199 1.0×	225 1.3×	113 0.7×	148 1.6×	49 0.6×	17	745
K. Swaraja India	12	135 0.7×	342 1.9×	143 0.9×	112 1.2×	45 0.5×	53	720
Sang‐Woong Lee South Korea	10	232 1.2×	212 1.2×	116 0.7×	91 1.0×	69 0.8×	19	519
C. Jiménez-Mesa Spain	9	138 0.7×	101 0.6×	120 0.7×	71 0.7×	93 1.1×	14	449
Boran Şekeroğlu Cyprus	16	309 1.5×	171 1.0×	262 1.6×	69 0.7×	60 0.7×	51	923
D. Selvathi India	14	186 0.9×	326 1.8×	184 1.1×	174 1.8×	71 0.9×	78	746
S. Suganyadevi India	9	173 0.9×	204 1.1×	176 1.1×	90 0.9×	28 0.3×	25	585
Mohammed A.‐M. Salem Egypt	15	257 1.3×	352 2.0×	239 1.4×	84 0.9×	84 1.0×	99	837
K. Balasamy India	9	162 0.8×	265 1.5×	177 1.1×	97 1.0×	30 0.4×	19	610
Sandeep Kumar Mathivanan India	17	310 1.5×	244 1.4×	216 1.3×	272 2.9×	60 0.7×	99	929

Countries citing papers authored by Xujing Yao

Since Specialization

Citations

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

Fields of papers citing papers by Xujing Yao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xujing Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Xujing Yao. A scholar is included among the top collaborators of Xujing Yao 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 Xujing Yao. Xujing Yao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Yao, Xujing, et al.. (2024). FuzH-PID: Highly controllable and stable DNN for COVID-19 detection via improved stochastic optimization. Expert Systems with Applications. 268. 126323–126323.

2.

Cheng, Kang, Xujing Yao, & Daniel Novák. (2023). Fuzzy Windows with Gaussian Processed Labels for Ordinal Image Scoring Tasks. Applied Sciences. 13(6). 4019–4019. 1 indexed citations

3.

Cheng, Kang, et al.. (2023). Classifying and Scoring Major Depressive Disorders by Residual Neural Networks on Specific Frequencies and Brain Regions. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 2964–2973. 9 indexed citations

4.

Yao, Xujing, et al.. (2022). AdaD-FNN for Chest CT-Based COVID-19 Diagnosis. IEEE Transactions on Emerging Topics in Computational Intelligence. 7(1). 5–14. 23 indexed citations

5.

Yao, Xujing, Ziquan Zhu, Shuihua Wang, & Yudong Zhang. (2021). CSGBBNet: An Explainable Deep Learning Framework for COVID-19 Detection. Diagnostics. 11(9). 1712–1712. 10 indexed citations

6.

Wang‎, Shuihua, M. Emre Celebi, Yudong Zhang, et al.. (2021). Advances in Data Preprocessing for Biomedical Data Fusion: An Overview of the Methods, Challenges, and Prospects. Information Fusion. 76. 376–421. 165 indexed citations

7.

Yan, Yan, Xujing Yao, Shuihua Wang, & Yudong Zhang. (2021). A Survey of Computer-Aided Tumor Diagnosis Based on Convolutional Neural Network. Biology. 10(11). 1084–1084. 33 indexed citations

8.

Zhang, Yudong, Zhengchao Dong, Shuihua Wang‎, et al.. (2020). Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation. Information Fusion. 64. 149–187. 313 indexed citations breakdown →

9.

Yao, Xujing, et al.. (2020). Hearing loss classification via stationary wavelet entropy and genetic algorithm. 20. 316–321. 2 indexed citations

10.

Yao, Xujing, et al.. (2020). Glomerulus Classification via an Improved GoogLeNet. IEEE Access. 8. 176916–176923. 11 indexed citations

11.

Yao, Xujing, et al.. (2020). A comprehensive survey on convolutional neural network in medical image analysis. Multimedia Tools and Applications. 81(29). 41361–41405. 50 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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