Zhongli Ding

23 total papers · 862 total citations
10 papers, 206 citations indexed

About

Zhongli Ding is a scholar working on Artificial Intelligence, Management Science and Operations Research and Molecular Biology. According to data from OpenAlex, Zhongli Ding has authored 10 papers receiving a total of 206 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Management Science and Operations Research and 3 papers in Molecular Biology. Recurrent topics in Zhongli Ding's work include Bayesian Modeling and Causal Inference (7 papers), Semantic Web and Ontologies (6 papers) and Biomedical Text Mining and Ontologies (3 papers). Zhongli Ding is often cited by papers focused on Bayesian Modeling and Causal Inference (7 papers), Semantic Web and Ontologies (6 papers) and Biomedical Text Mining and Ontologies (3 papers). Zhongli Ding collaborates with scholars based in United States. Zhongli Ding's co-authors include Yun Peng, Rong Pan, Yang Yu, Li Ding, Boonserm Kulvatunyou, Albert Jones, H.S. Cho, Tim Finin, Yongmei Shi and Nenad Ivezic and has published in prestigious journals such as International Journal of Uncertainty Fuzziness and Knowledge-Based Systems, Maryland Shared Open Access Repository (USMAI Consortium) and Defense Technical Information Center (DTIC).

In The Last Decade

Zhongli Ding

9 papers receiving 175 citations

Author Peers

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

Author						Papers	Cites
Zhongli Ding	171	51	47	37	36	10	206
Stephan Bloehdorn	204 1.2×	44 0.9×	80 1.7×	83 2.2×	17 0.5×	15	281
Arjohn Kampman	205 1.2×	53 1.0×	99 2.1×	31 0.8×	29 0.8×	9	250
Yihong Ding	167 1.0×	19 0.4×	111 2.4×	50 1.4×	30 0.8×	11	238
Mark G. Kelly	179 1.0×	27 0.5×	63 1.3×	30 0.8×	7 0.2×	7	248
Mario Arias	129 0.8×	22 0.4×	74 1.6×	24 0.6×	20 0.6×	7	178
Chi Thang Duong	170 1.0×	30 0.6×	74 1.6×	44 1.2×	24 0.7×	15	247
Günter Ladwig	148 0.9×	34 0.7×	90 1.9×	13 0.4×	24 0.7×	9	171
Maosong Sun	209 1.2×	45 0.9×	31 0.7×	28 0.8×	13 0.4×	16	231
Yi Huang	128 0.7×	42 0.8×	62 1.3×	40 1.1×	17 0.5×	14	217
Ronny Kohavi	91 0.5×	17 0.3×	73 1.6×	15 0.4×	23 0.6×	8	200

Countries citing papers authored by Zhongli Ding

Since Specialization

Citations

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

Fields of papers citing papers by Zhongli Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhongli Ding

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