Zhuoye Ding

63 total papers · 2.0k total citations
35 papers, 664 citations indexed

About

Zhuoye Ding is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Zhuoye Ding has authored 35 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 18 papers in Information Systems and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Zhuoye Ding's work include Topic Modeling (19 papers), Natural Language Processing Techniques (12 papers) and Recommender Systems and Techniques (11 papers). Zhuoye Ding is often cited by papers focused on Topic Modeling (19 papers), Natural Language Processing Techniques (12 papers) and Recommender Systems and Techniques (11 papers). Zhuoye Ding collaborates with scholars based in China, United States and Singapore. Zhuoye Ding's co-authors include Dawei Yin, Lixin Zou, Yulong Gu, Shuaiqiang Wang, Jiliang Tang, Weidong Liu, Long Xia, Jiaxing Song, Qi Zhang and Xuanjing Huang and has published in prestigious journals such as Neurocomputing, AI Magazine and Neural Information Processing Systems.

In The Last Decade

Zhuoye Ding

35 papers receiving 645 citations

Author Peers

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

Author						Papers	Cites
Zhuoye Ding	429	425	136	132	58	35	664
Javier Parapar	381 0.9×	401 0.9×	134 1.0×	99 0.8×	51 0.9×	66	626
Lixin Zou	353 0.8×	410 1.0×	196 1.4×	140 1.1×	66 1.1×	49	639
Raciel Yera	256 0.6×	444 1.0×	109 0.8×	128 1.0×	43 0.7×	25	630
Álvaro Tejeda-Lorente	255 0.6×	335 0.8×	108 0.8×	87 0.7×	69 1.2×	22	567
Yingqiang Ge	506 1.2×	431 1.0×	103 0.8×	94 0.7×	34 0.6×	27	694
Negar Hariri	282 0.7×	550 1.3×	86 0.6×	120 0.9×	78 1.3×	15	644
Weiwen Liu	436 1.0×	354 0.8×	92 0.7×	162 1.2×	57 1.0×	54	726
Zhankui He	509 1.2×	535 1.3×	91 0.7×	211 1.6×	58 1.0×	23	721
Víctor Carneiro	287 0.7×	435 1.0×	73 0.5×	123 0.9×	167 2.9×	37	700
Dong‐Kyu Chae	339 0.8×	380 0.9×	71 0.5×	161 1.2×	58 1.0×	55	612

Countries citing papers authored by Zhuoye Ding

Since Specialization

Citations

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

Fields of papers citing papers by Zhuoye Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhuoye Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Zhuoye Ding. A scholar is included among the top collaborators of Zhuoye Ding 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 Zhuoye Ding. Zhuoye Ding 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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