Weida Zhong

540 citations
20 papers · 386 · h-index 11

Impact in

Papers in

Weida Zhong

20 papers receiving 381 citations

Peers

Weida Zhong
Comparison fields: 5 of 69
  • Health Information Management 60
  • Artificial Intelligence 196
  • Transportation 28
  • Building and Construction 49
  • Signal Processing 32
Replace Younghoon Kim with:
Younghoon Kim South Korea
Hossam Meshref Saudi Arabia
Mohammed G.H. Al Zamil Jordan
Romana Talat Pakistan
Zhuotao Lian Japan
Emad-ul-Haq Qazi Saudi Arabia
Balwant A. Sonkamble India
Behrooz Masoumi Iran
Abdul Jaleel Pakistan
Mehul Mahrishi India
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Citations per field
00.5×3.5×
Younghoon Kim · 1×
Citations per year

Countries citing papers authored by Weida Zhong

Since Specialization
Citations

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

Fields of papers citing papers by Weida Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Weida Zhong, 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 Weida Zhong Line = papers co-authored together Weida Zhong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201898
2 201756
3 201931
4 202128
5 202026
6 201524
7 201818
8 201516
9 202016
10 201613
11 201912
12 201210
13 20237
14 20217
15 20157
16 20215
17 20195
18 20124
19 20112
20 20121

About Weida Zhong

Weida Zhong is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications, Health Information Management and Building and Construction, having authored 20 papers that have together received 386 indexed citations. Recurring topics across this work include Advanced Optical Network Technologies (7 papers), Machine Learning in Healthcare (5 papers), Optical Network Technologies (4 papers), Advanced Photonic Communication Systems (3 papers), Software-Defined Networks and 5G (3 papers), Anomaly Detection Techniques and Applications (2 papers), Semiconductor Lasers and Optical Devices (2 papers) and Air Quality Monitoring and Forecasting (2 papers). The work is most often cited by research in Health Information Management (60 citations), Artificial Intelligence (196 citations), Transportation (28 citations), Building and Construction (49 citations) and Signal Processing (32 citations). Weida Zhong has collaborated with scholars based in United States and China. Frequent co-authors include Qiuling Suo, Aidong Zhang, Fenglong Ma, Ye Yuan, Mengdi Huai, Jing Gao, Chunming Qiao, Lü Su, Xiaowei Jia and Xiujiao Gao. Their work appears in journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, IEEE Communications Letters, IEEE Transactions on NanoBioscience, IEEE Transactions on Vehicular Technology and Journal of Optical 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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