Xiaokun Yang

93 total papers · 621 total citations
54 papers, 380 citations indexed

About

Xiaokun Yang is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Hardware and Architecture. According to data from OpenAlex, Xiaokun Yang has authored 54 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Electrical and Electronic Engineering, 15 papers in Computer Vision and Pattern Recognition and 15 papers in Hardware and Architecture. Recurrent topics in Xiaokun Yang's work include Embedded Systems Design Techniques (8 papers), Parallel Computing and Optimization Techniques (8 papers) and VLSI and Analog Circuit Testing (5 papers). Xiaokun Yang is often cited by papers focused on Embedded Systems Design Techniques (8 papers), Parallel Computing and Optimization Techniques (8 papers) and VLSI and Analog Circuit Testing (5 papers). Xiaokun Yang collaborates with scholars based in United States, China and Canada. Xiaokun Yang's co-authors include Baoqi Huang, Jean Andrian, Long Zhao, Han Zou, Jiang Lu, Ming Fan, Hui Wang, Wujie Wen, Tao Liu and Lei Wu and has published in prestigious journals such as Optics Communications, Journal of Systems and Software and IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

In The Last Decade

Xiaokun Yang

50 papers receiving 361 citations

Author Peers

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

Author						Papers	Cites
Xiaokun Yang	182	149	67	61	58	54	380
Bouraoui Ouni	144 0.8×	55 0.4×	73 1.1×	64 1.0×	28 0.5×	49	397
T. S. B. Sudarshan	96 0.5×	98 0.7×	159 2.4×	55 0.9×	32 0.6×	60	344
Shahzad Muzaffar	243 1.3×	57 0.4×	65 1.0×	78 1.3×	21 0.4×	39	423
Feng Ran	194 1.1×	47 0.3×	81 1.2×	40 0.7×	31 0.5×	72	362
Kevin Irick	182 1.0×	185 1.2×	41 0.6×	31 0.5×	26 0.4×	37	407
Radu Mureşan	93 0.5×	119 0.8×	56 0.8×	168 2.8×	19 0.3×	42	411
Jian Huang	47 0.3×	151 1.0×	54 0.8×	58 1.0×	31 0.5×	50	402
Milan Z. Bjelica	209 1.1×	116 0.8×	147 2.2×	32 0.5×	23 0.4×	81	427
Mohammad Mozumdar	81 0.4×	40 0.3×	190 2.8×	86 1.4×	50 0.9×	36	414
Dong-Wook Lee	168 0.9×	50 0.3×	213 3.2×	46 0.8×	24 0.4×	58	372

Countries citing papers authored by Xiaokun Yang

Since Specialization

Citations

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

Fields of papers citing papers by Xiaokun Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaokun Yang

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