Dejian Yang

13 total papers · 477 total citations
5 papers, 105 citations indexed

About

Dejian Yang is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Information Systems. According to data from OpenAlex, Dejian Yang has authored 5 papers receiving a total of 105 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Statistical and Nonlinear Physics and 1 paper in Information Systems. Recurrent topics in Dejian Yang's work include Advanced Graph Neural Networks (2 papers), Complex Network Analysis Techniques (2 papers) and Natural Language Processing Techniques (2 papers). Dejian Yang is often cited by papers focused on Advanced Graph Neural Networks (2 papers), Complex Network Analysis Techniques (2 papers) and Natural Language Processing Techniques (2 papers). Dejian Yang collaborates with scholars based in China, United Kingdom and United States. Dejian Yang's co-authors include Zhoujun Li, Senzhang Wang, Chaozhuo Li, Xiaoming Zhang, Yu Wu, Wei Wu, Can Xu, Jiahui Zhang, Jiaqi Guo and Bin Zhou and has published in prestigious journals such as Knowledge-Based Systems, Journal of Orthopaedic Surgery and Research and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Dejian Yang

4 papers receiving 102 citations

Author Peers

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

Author						Papers	Cites
Dejian Yang	98	40	20	15	8	5	105
Christopher Fifty	100 1.0×	33 0.8×	31 1.6×	13 0.9×	28 3.5×	2	117
Lucia Cavallaro	120 1.2×	26 0.7×	16 0.8×	18 1.2×	31 3.9×	8	219
Ehsan Hajiramezanali	58 0.6×	15 0.4×	11 0.6×	18 1.2×	11 1.4×	8	95
Tai Qin	47 0.5×	76 1.9×	5 0.3×	15 1.0×	13 1.6×	3	106
Farahnaz Akrami	187 1.9×	11 0.3×	15 0.8×	15 1.0×	19 2.4×	5	208
Yaser Keneshloo	139 1.4×	37 0.9×	39 1.9×	4 0.3×	16 2.0×	5	190
Madhav Nimishakavi	66 0.7×	39 1.0×	7 0.3×	21 1.4×	32 4.0×	7	99
Vikram Nitin	63 0.6×	37 0.9×	26 1.3×	20 1.3×	24 3.0×	6	106
Guillaume Erétéo	69 0.7×	9 0.2×	49 2.5×	10 0.7×	4 0.5×	4	101
Trapit Bansal	191 1.9×	16 0.4×	72 3.6×	15 1.0×	24 3.0×	9	215

Countries citing papers authored by Dejian Yang

Since Specialization

Citations

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

Fields of papers citing papers by Dejian Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dejian Yang

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