Congguang Yang

13 total papers · 1.1k total citations
10 papers, 579 citations indexed

About

Congguang Yang is a scholar working on Computational Theory and Mathematics, Hardware and Architecture and Electrical and Electronic Engineering. According to data from OpenAlex, Congguang Yang has authored 10 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Theory and Mathematics, 8 papers in Hardware and Architecture and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Congguang Yang's work include Formal Methods in Verification (9 papers), VLSI and Analog Circuit Testing (5 papers) and Embedded Systems Design Techniques (5 papers). Congguang Yang is often cited by papers focused on Formal Methods in Verification (9 papers), VLSI and Analog Circuit Testing (5 papers) and Embedded Systems Design Techniques (5 papers). Congguang Yang collaborates with scholars based in United States. Congguang Yang's co-authors include David L. Dill, Maciej Ciesielski, Alan J. Hu, Mark Horowitz, Richard C. Ho, Vigyan Singhal, Pu Zhao, Zheng Zhan, Yifan Gong and Xuan Shen and has published in prestigious journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, ACM SIGARCH Computer Architecture News and Scholarworks (University of Massachusetts Amherst).

In The Last Decade

Congguang Yang

10 papers receiving 535 citations

Author Peers

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

Author						Papers	Cites
Congguang Yang	357	322	213	199	122	10	579
Vigyan Singhal	331 0.9×	261 0.8×	194 0.9×	134 0.7×	82 0.7×	27	518
J.C. Madre	339 0.9×	189 0.6×	148 0.7×	230 1.2×	141 1.2×	20	513
Gerhard Goos	360 1.0×	166 0.5×	54 0.3×	221 1.1×	174 1.4×	12	550
H.J. Touati	304 0.9×	487 1.5×	360 1.7×	90 0.5×	87 0.7×	16	654
Philip R. Moorby	160 0.4×	368 1.1×	155 0.7×	64 0.3×	92 0.8×	9	518
Steven M. German	383 1.1×	185 0.6×	55 0.3×	154 0.8×	240 2.0×	25	510
Louise Trevillyan	156 0.4×	511 1.6×	445 2.1×	45 0.2×	51 0.4×	24	641
J. E. Mezei	427 1.2×	91 0.3×	40 0.2×	166 0.8×	360 3.0×	6	681
Abraham Waksman	251 0.7×	156 0.5×	189 0.9×	28 0.1×	186 1.5×	15	576
Jean-Claude Fernandez	333 0.9×	111 0.3×	33 0.2×	231 1.2×	213 1.7×	25	559

Countries citing papers authored by Congguang Yang

Since Specialization

Citations

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

Fields of papers citing papers by Congguang Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Congguang Yang

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