Xiaoli Dong

44 total papers · 565 total citations
32 papers, 393 citations indexed

About

Xiaoli Dong is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Condensed Matter Physics. According to data from OpenAlex, Xiaoli Dong has authored 32 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 10 papers in Signal Processing and 3 papers in Condensed Matter Physics. Recurrent topics in Xiaoli Dong's work include Face recognition and analysis (15 papers), Generative Adversarial Networks and Image Synthesis (10 papers) and Face and Expression Recognition (8 papers). Xiaoli Dong is often cited by papers focused on Face recognition and analysis (15 papers), Generative Adversarial Networks and Image Synthesis (10 papers) and Face and Expression Recognition (8 papers). Xiaoli Dong collaborates with scholars based in China, United States and Singapore. Xiaoli Dong's co-authors include Xin Ning, Linjun Sun, Lina Yu, Liping Zhang, Weijun Li, Wang Zheng-ou, Yuan Shi, Jinchao Chen, Weiwei Cai and Wei He and has published in prestigious journals such as Information Sciences, Solid State Communications and Journal of Crystal Growth.

In The Last Decade

Xiaoli Dong

31 papers receiving 375 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Xiaoli Dong	217	122	65	55	31	32	393
Junwei Yang	76 0.4×	132 1.1×	41 0.6×	34 0.6×	16 0.5×	35	376
Sraban Kumar Mohanty	138 0.6×	285 2.3×	54 0.8×	83 1.5×	24 0.8×	33	437
Sungchan Park	69 0.3×	98 0.8×	27 0.4×	136 2.5×	20 0.6×	31	342
Lin Cao	171 0.8×	105 0.9×	28 0.4×	11 0.2×	15 0.5×	57	384
Guangyuan Zhang	59 0.3×	155 1.3×	27 0.4×	34 0.6×	4 0.1×	48	378
Yen-Ting Chen	121 0.6×	93 0.8×	31 0.5×	20 0.4×	14 0.5×	34	400
Weimin Peng	101 0.5×	60 0.5×	23 0.4×	16 0.3×	52 1.7×	33	409
Yongxing Du	117 0.5×	52 0.4×	40 0.6×	19 0.3×	52 1.7×	36	401
Jing Guo	115 0.5×	54 0.4×	43 0.7×	30 0.5×	12 0.4×	50	410
Christoph Schulz	162 0.7×	53 0.4×	43 0.7×	30 0.5×	2 0.1×	51	436

Countries citing papers authored by Xiaoli Dong

Since Specialization

Citations

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

Fields of papers citing papers by Xiaoli Dong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoli Dong

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

All Works

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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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