Fa Wang

594 citations
39 papers · 414 indexed · h-index 13

Impact in

Papers in

Fa Wang

36 papers receiving 411 citations

Peers

Fa Wang
Comparison fields: 5 of 65
  • Hardware and Architecture 119
  • Industrial and Manufacturing Engineering 49
  • Statistics, Probability and Uncertainty 35
  • Electrical and Electronic Engineering 229
  • Computational Mathematics 2
Replace Yong Liang with:
Yong Liang China
Stephen J. Maher United Kingdom
Martin Wortman United States
Rakesh Kumar India
Davidson United States
Robert Graybill United States
J. Daniel García Spain
J. M. Wilson United Kingdom
Alex Talevski Australia
Yu Yang China
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Citations per field
00.5×8.8×
Yong Liang · 1×
Citations per year

Countries citing papers authored by Fa Wang

Since Specialization
Citations

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

Fields of papers citing papers by Fa Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fa Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fa Wang Line = papers co-authored together Fa Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201548
2 201341
3 201635
4 201931
5 201229
6 201723
7 202118
8 201218
9 201418
10 201315
11 201514
12 200914
13 201812
14 202111
15 20169
16 20148
17 20168
18 20178
19 20247
20
Geographic Patterns of Air Passenger Transport in China
20037

About Fa Wang

Fa Wang is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture, Mechanical Engineering, Statistics, Probability and Uncertainty and Management Information Systems, having authored 39 papers that have together received 414 indexed citations. Recurring topics across this work include VLSI and Analog Circuit Testing (11 papers), VLSI and FPGA Design Techniques (8 papers), Low-power high-performance VLSI design (6 papers), Radio Frequency Integrated Circuit Design (5 papers), Integrated Circuits and Semiconductor Failure Analysis (4 papers), Consumer Market Behavior and Pricing (3 papers), Supply Chain and Inventory Management (3 papers) and High Temperature Alloys and Creep (3 papers). The work is most often cited by research in Hardware and Architecture (119 citations), Industrial and Manufacturing Engineering (49 citations), Statistics, Probability and Uncertainty (35 citations), Electrical and Electronic Engineering (229 citations) and Computational Mathematics (2 citations). Fa Wang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Xin Li, Wangyang Zhang, Shupeng Sun, Chenjie Gu, Mohamed Baker Alawieh, Badi H. Baltagi, Chihwa Kao, Yang Hui, Jing Chen and Rouwaida Kanj. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Journal of Econometrics, Annals of Operations Research, International Transactions in Operational Research and EURASIP Journal on Wireless Communications and Networking.

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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