Dezhao Song

33 total papers · 579 total citations
23 papers, 267 citations indexed

About

Dezhao Song is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems. According to data from OpenAlex, Dezhao Song has authored 23 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 9 papers in Management Science and Operations Research and 7 papers in Information Systems. Recurrent topics in Dezhao Song's work include Semantic Web and Ontologies (14 papers), Data Quality and Management (9 papers) and Topic Modeling (9 papers). Dezhao Song is often cited by papers focused on Semantic Web and Ontologies (14 papers), Data Quality and Management (9 papers) and Topic Modeling (9 papers). Dezhao Song collaborates with scholars based in United States, China and United Kingdom. Dezhao Song's co-authors include Jeff Heflin, Frank Schilder, Andrew Vold, Xiaolei Huang, Cui Tao, Edward Kim, Héctor Muñoz‐Avila, L. Rodney Long, Sameer Antani and Christopher G. Chute and has published in prestigious journals such as IEEE Access, IEEE Transactions on Medical Imaging and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Dezhao Song

22 papers receiving 250 citations

Author Peers

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

Author						Papers	Cites
Dezhao Song	217	50	46	44	39	23	267
Vivek Kumar	125 0.6×	21 0.4×	44 1.0×	14 0.3×	2 0.1×	26	269
Xutao Wang	142 0.7×	13 0.3×	25 0.5×	13 0.3×	5 0.1×	17	255
Dimitris Kotzinos	168 0.8×	33 0.7×	55 1.2×	5 0.1×	4 0.1×	30	320
Mrinal Kanti Baowaly	161 0.7×	10 0.2×	42 0.9×	7 0.2×	12 0.3×	15	268
Youssef Filali	121 0.6×	10 0.2×	42 0.9×	44 1.0×	11 0.3×	21	262
Alessio Gugliotta	174 0.8×	31 0.6×	195 4.2×	7 0.2×	17 0.4×	28	297
I. Boukhris	66 0.3×	10 0.2×	50 1.1×	11 0.3×	24 0.6×	41	198
Stefan Hegselmann	131 0.6×	17 0.3×	29 0.6×	6 0.1×	4 0.1×	18	222
Yingying Wen	115 0.5×	9 0.2×	43 0.9×	21 0.5×	3 0.1×	21	296
Gabriel P. Oliveira	36 0.2×	21 0.4×	21 0.5×	16 0.4×	10 0.3×	50	303

Countries citing papers authored by Dezhao Song

Since Specialization

Citations

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

Fields of papers citing papers by Dezhao Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dezhao Song

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