Qiang Ding

85 total papers · 629 total citations
45 papers, 356 citations indexed

About

Qiang Ding is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Qiang Ding has authored 45 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 15 papers in Information Systems and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Qiang Ding's work include Data Management and Algorithms (10 papers), Data Mining Algorithms and Applications (10 papers) and Innovation and Knowledge Management (5 papers). Qiang Ding is often cited by papers focused on Data Management and Algorithms (10 papers), Data Mining Algorithms and Applications (10 papers) and Innovation and Knowledge Management (5 papers). Qiang Ding collaborates with scholars based in China, United States and New Zealand. Qiang Ding's co-authors include William Perrizo, Qin Ding, Michèle E.M. Akoorie, Chunping Li, Li Li, Lili Yang, Hai Jin, Dezhong Yao, Kathryn Pavlovich and Yu Chen and has published in prestigious journals such as IEEE Access, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) and Information Fusion.

In The Last Decade

Qiang Ding

38 papers receiving 334 citations

Author Peers

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

Author						Papers	Cites
Qiang Ding	146	118	71	47	46	45	356
Hongmei Chen	74 0.5×	224 1.9×	151 2.1×	18 0.4×	45 1.0×	40	382
Keivan Kianmehr	197 1.3×	151 1.3×	72 1.0×	7 0.1×	102 2.2×	36	375
Basilis Boutsinas	158 1.1×	104 0.9×	56 0.8×	10 0.2×	27 0.6×	35	376
Wei‐Guang Teng	89 0.6×	152 1.3×	38 0.5×	12 0.3×	108 2.3×	30	330
Brigitte Trousse	106 0.7×	144 1.2×	32 0.5×	11 0.2×	54 1.2×	35	365
Haoyuan Hu	83 0.6×	33 0.3×	25 0.4×	23 0.5×	20 0.4×	27	362
Guohua Bai	111 0.8×	81 0.7×	34 0.5×	9 0.2×	56 1.2×	41	383
Soumya Banerjee	111 0.8×	111 0.9×	15 0.2×	23 0.5×	86 1.9×	46	374
Tatiana Levashova	160 1.1×	114 1.0×	27 0.4×	17 0.4×	69 1.5×	75	349
Sukhjit Singh Sehra	59 0.4×	103 0.9×	94 1.3×	10 0.2×	53 1.2×	30	397

Countries citing papers authored by Qiang Ding

Since Specialization

Citations

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

Fields of papers citing papers by Qiang Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiang Ding

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