Zhaoyun Ding

100 total papers · 774 total citations
48 papers, 483 citations indexed

About

Zhaoyun Ding is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Zhaoyun Ding has authored 48 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 18 papers in Information Systems and 12 papers in Statistical and Nonlinear Physics. Recurrent topics in Zhaoyun Ding's work include Topic Modeling (14 papers), Complex Network Analysis Techniques (12 papers) and Web Data Mining and Analysis (7 papers). Zhaoyun Ding is often cited by papers focused on Topic Modeling (14 papers), Complex Network Analysis Techniques (12 papers) and Web Data Mining and Analysis (7 papers). Zhaoyun Ding collaborates with scholars based in China and Germany. Zhaoyun Ding's co-authors include Pei Li, Hang Zhang, Weike Liu, Qingbao Liu, Jiajun Cheng, Cheng Zhu, Hui Wang, Hui Wang, Sheng Zhang and Bin Zhou and has published in prestigious journals such as IEEE Access, Knowledge-Based Systems and Applied Sciences.

In The Last Decade

Zhaoyun Ding

40 papers receiving 469 citations

Author Peers

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

Author						Papers	Cites
Zhaoyun Ding	316	140	100	77	55	48	483
Jianping Zeng	239 0.8×	174 1.2×	132 1.3×	93 1.2×	47 0.9×	43	482
Shengjie Wang	197 0.6×	109 0.8×	93 0.9×	70 0.9×	65 1.2×	35	467
Luca Virgili	214 0.7×	146 1.0×	91 0.9×	131 1.7×	70 1.3×	45	539
Madhu Kumari	239 0.8×	175 1.3×	51 0.5×	66 0.9×	40 0.7×	45	455
Enrico Corradini	174 0.6×	114 0.8×	86 0.9×	91 1.2×	57 1.0×	39	448
Guoyong Cai	275 0.9×	163 1.2×	82 0.8×	89 1.2×	29 0.5×	53	486
Panayiotis Bozanis	155 0.5×	144 1.0×	70 0.7×	136 1.8×	67 1.2×	55	453
Andreas Lommatzsch	318 1.0×	115 0.8×	288 2.9×	69 0.9×	58 1.1×	26	531
Saeed Samet	287 0.9×	126 0.9×	94 0.9×	55 0.7×	20 0.4×	37	452
Shelly Sachdeva	214 0.7×	119 0.8×	64 0.6×	85 1.1×	45 0.8×	62	523

Countries citing papers authored by Zhaoyun Ding

Since Specialization

Citations

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

Fields of papers citing papers by Zhaoyun Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhaoyun Ding

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