Di-Xiu Xue

459 total citations
6 papers, 324 citations indexed

About

Di-Xiu Xue is a scholar working on Computer Vision and Pattern Recognition, Surgery and Artificial Intelligence. According to data from OpenAlex, Di-Xiu Xue has authored 6 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Surgery and 3 papers in Artificial Intelligence. Recurrent topics in Di-Xiu Xue's work include AI in cancer detection (3 papers), Esophageal Cancer Research and Treatment (3 papers) and Medical Image Segmentation Techniques (2 papers). Di-Xiu Xue is often cited by papers focused on AI in cancer detection (3 papers), Esophageal Cancer Research and Treatment (3 papers) and Medical Image Segmentation Techniques (2 papers). Di-Xiu Xue collaborates with scholars based in China and United States. Di-Xiu Xue's co-authors include Yalei Wang, Hui Feng, Rong Zhang, Rong Zhang, Rongsheng Zhu, Xu Shen, Xian‐Sheng Hua, Houqiang Li, Xinmei Tian and Jianqiang Huang and has published in prestigious journals such as Endoscopy, Journal of Medical and Biological Engineering and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Di-Xiu Xue

6 papers receiving 308 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Di-Xiu Xue China	5	131	101	89	73	72	6	324
Keewon Shin South Korea	9	56 0.4×	131 1.3×	45 0.5×	64 0.9×	63 0.9×	21	455
Anjany Sekuboyina Germany	13	95 0.7×	317 3.1×	30 0.3×	36 0.5×	173 2.4×	31	620
Laurent Massoptier Italy	11	263 2.0×	128 1.3×	66 0.7×	21 0.3×	54 0.8×	23	543
Rahul Prasanna Kumar Norway	11	216 1.6×	178 1.8×	47 0.5×	27 0.4×	242 3.4×	28	455
Xinyi Zeng China	9	54 0.4×	33 0.3×	60 0.7×	14 0.2×	73 1.0×	24	269
Luisa F. Sánchez‐Peralta Spain	10	103 0.8×	105 1.0×	44 0.5×	135 1.8×	93 1.3×	24	364
Yisen Huang China	10	49 0.4×	92 0.9×	25 0.3×	27 0.4×	64 0.9×	41	294
Michael Wels Germany	15	125 1.0×	226 2.2×	92 1.0×	37 0.5×	124 1.7×	32	513
Bruno Oliveira Portugal	11	172 1.3×	145 1.4×	113 1.3×	29 0.4×	49 0.7×	55	528
Helena R. Torres Portugal	10	140 1.1×	83 0.8×	47 0.5×	24 0.3×	37 0.5×	47	302

Countries citing papers authored by Di-Xiu Xue

Since Specialization

Citations

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

Fields of papers citing papers by Di-Xiu Xue

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Di-Xiu Xue. 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 Di-Xiu Xue. The network helps show where Di-Xiu Xue may publish in the future.

Co-authorship network of co-authors of Di-Xiu Xue

This figure shows the co-authorship network connecting the top 25 collaborators of Di-Xiu Xue. A scholar is included among the top collaborators of Di-Xiu Xue 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 Di-Xiu Xue. Di-Xiu Xue 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:

6 of 6 papers shown

1.

Huang, Zhen, Di-Xiu Xue, Xu Shen, et al.. (2021). 3D Local Convolutional Neural Networks for Gait Recognition. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 14900–14909. 91 indexed citations

2.

Zhao, Yuanyuan, Di-Xiu Xue, Yalei Wang, et al.. (2018). Computer-assisted diagnosis of early esophageal squamous cell carcinoma using narrow-band imaging magnifying endoscopy. Endoscopy. 51(4). 333–341. 82 indexed citations

3.

Xue, Di-Xiu, Rong Zhang, Yuanyuan Zhao, Jianming Xu, & Yalei Wang. (2017). Fully convolutional networks with double-label for esophageal cancer image segmentation by self-transfer learning. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10420. 104202D–104202D. 5 indexed citations

4.

Xue, Di-Xiu, Rong Zhang, Hui Feng, & Yalei Wang. (2016). CNN-SVM for Microvascular Morphological Type Recognition with Data Augmentation. Journal of Medical and Biological Engineering. 36(6). 755–764. 85 indexed citations

5.

Xue, Di-Xiu, Rong Zhang, & Rongsheng Zhu. (2015). Microvascular morphological type recognition using trainable feature extractor. abs 1409 4842. 67–70. 2 indexed citations

6.

Zhu, Rongsheng, Rong Zhang, & Di-Xiu Xue. (2015). Lesion detection of endoscopy images based on convolutional neural network features. 372–376. 59 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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