Weikang Qian

103 papers receiving 1.8k citations

Peers

Weikang Qian
Comparison fields: 5 of 69
  • Electrical and Electronic Engineering 1.4k
  • Computer Networks and Communications 856
  • Artificial Intelligence 785
  • Hardware and Architecture 261
  • Computational Theory and Mathematics 202
Replace Marc D. Riedel with:
Marc D. Riedel United States
Kia Bazargan United States
Armin Alaghi United States
Ajay Joshi United States
Indranil Sengupta India
Swaroop Ghosh United States
Salvatore Pontarelli Italy
J. Chandy United States
B.F. Cockburn Canada
Sorin Cotöfană Netherlands
Weikang Qian relative to Marc D. Riedel United States Marc D. Riedel's profile →
Citations per field
00.5×1.5×1.8×
Marc D. Riedel · 1×
Citations per year

Countries citing papers authored by Weikang Qian

Since Specialization
Citations

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

Fields of papers citing papers by Weikang Qian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weikang Qian

This figure shows the co-authorship network connecting the top 25 collaborators of Weikang Qian. A scholar is included among the top collaborators of Weikang Qian 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 Weikang Qian. Weikang Qian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 1
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5 1
6 3
7 4
8 18
9 3
10 18
11 4
12 174
13 16
14 1
15 49
16 4
17 6
18 5
19
VB Software Based Implementation of Paperless Recording Design
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20
Analysis on main factors influencing accuracy of time-division multiplier
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About Weikang Qian

Weikang Qian is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 119 papers that have together received 1.9k indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (52 papers), Error Correcting Code Techniques (31 papers) and Advanced Memory and Neural Computing (20 papers). The work is most often cited by research in Hardware and Architecture (261 citations), Computer Networks and Communications (856 citations) and Artificial Intelligence (785 citations). Weikang Qian has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Marc D. Riedel, David J. Lilja, Kia Bazargan, Xin Li, John P. Hayes, Armin Alaghi, Peng Li, Peng Li, Cheng Zhuo and Ivo G. Rosenberg. Their work appears in journals such as IEEE Transactions on Computers, IEEE Transactions on Parallel and Distributed Systems and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

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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