D. S. Shang

41 total papers · 1.2k total citations
36 papers, 1.0k citations indexed

About

D. S. Shang is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Polymers and Plastics. According to data from OpenAlex, D. S. Shang has authored 36 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Electrical and Electronic Engineering, 15 papers in Materials Chemistry and 14 papers in Polymers and Plastics. Recurrent topics in D. S. Shang's work include Advanced Memory and Neural Computing (25 papers), Transition Metal Oxide Nanomaterials (14 papers) and Magnetic and transport properties of perovskites and related materials (12 papers). D. S. Shang is often cited by papers focused on Advanced Memory and Neural Computing (25 papers), Transition Metal Oxide Nanomaterials (14 papers) and Magnetic and transport properties of perovskites and related materials (12 papers). D. S. Shang collaborates with scholars based in China, Hong Kong and Singapore. D. S. Shang's co-authors include Lidong Chen, Rui Dong, Xinghua Li, Qiuhong Wang, Jirong Sun, Baogen Shen, J. R. Sun, B. G. Shen, Lei Shi and Fei Zhuge and has published in prestigious journals such as Advanced Materials, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

D. S. Shang

31 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
D. S. Shang 909 527 371 229 150 36 1.0k
Vikas Kumar 726 0.8× 476 0.9× 341 0.9× 180 0.8× 90 0.6× 52 1.0k
M. Kund 850 0.9× 522 1.0× 235 0.6× 219 1.0× 138 0.9× 24 1.1k
Sang Ho Jeon 1.1k 1.2× 643 1.2× 333 0.9× 110 0.5× 136 0.9× 36 1.2k
Yimin Cui 684 0.8× 374 0.7× 287 0.8× 244 1.1× 76 0.5× 53 908
Danilo Bürger 748 0.8× 497 0.9× 261 0.7× 287 1.3× 201 1.3× 59 1.1k
Yongdan Zhu 540 0.6× 691 1.3× 212 0.6× 266 1.2× 72 0.5× 52 1.0k
Marco Moors 807 0.9× 559 1.1× 211 0.6× 73 0.3× 284 1.9× 44 1.2k
Guokun Ma 874 1.0× 395 0.7× 287 0.8× 181 0.8× 114 0.8× 64 1.0k
B.-I. Ryu 1.1k 1.2× 444 0.8× 372 1.0× 81 0.4× 140 0.9× 18 1.1k
Jin Zhou 756 0.8× 358 0.7× 464 1.3× 165 0.7× 40 0.3× 48 1.0k

Countries citing papers authored by D. S. Shang

Since Specialization
Citations

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

Fields of papers citing papers by D. S. Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. S. Shang. 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 D. S. Shang. The network helps show where D. S. Shang may publish in the future.

Co-authorship network of co-authors of D. S. Shang

This figure shows the co-authorship network connecting the top 25 collaborators of D. S. Shang. A scholar is included among the top collaborators of D. S. Shang 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 D. S. Shang. D. S. Shang 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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