Weifeng Wang

81 papers receiving 891 citations

Weifeng Wang's Hit Papers

Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning 2019 · 411 citations
4110+2+4Years since publication100200300400

Peers

Weifeng Wang
Comparison fields: 5 of 114
  • Transportation 278
  • Building and Construction 371
  • Signal Processing 107
  • Control and Systems Engineering 160
  • Safety, Risk, Reliability and Quality 36
Replace Wei Nai with:
Wei Nai China
Qingyong Zhang China
Geng Xu China
Minghua Hu China
Xiaotian Sun United States
Yun Yang China
Jia He China
Xiaohong Hao China
Weifeng Wang relative to Wei Nai China Wei Nai's profile →
Citations per field
00.5×3.6×
Wei Nai · 1×
Citations per year

Countries citing papers authored by Weifeng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Weifeng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning
Hit paper breakdown →
2019411
2 201145
3 202036
4 201933
5 202418
6 201918
7 201818
8 201215
9 202214
10 201814
11 201014
12 202313
13 202312
14 202211
15 202211
16 20159
17 20179
18 20219
19 20138
20 20238

About Weifeng Wang

Weifeng Wang is a scholar working on Electrical and Electronic Engineering, Computational Mechanics, Biomedical Engineering, Civil and Structural Engineering and Mechanics of Materials, having authored 92 papers that have together received 909 indexed citations. Recurring topics across this work include Structural Engineering and Vibration Analysis (5 papers), Hydrocarbon exploration and reservoir analysis (5 papers), Advanced Measurement and Detection Methods (4 papers), Fire dynamics and safety research (4 papers), Civil and Geotechnical Engineering Research (4 papers), Nanomaterials and Printing Technologies (4 papers), Microfluidic and Capillary Electrophoresis Applications (4 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (4 papers). The work is most often cited by research in Transportation (278 citations), Building and Construction (371 citations), Signal Processing (107 citations), Control and Systems Engineering (160 citations) and Safety, Risk, Reliability and Quality (36 citations). Weifeng Wang has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Junbo Zhang, Zheyi Pan, Yu Zheng, Yong Yu, Yuxuan Liang, Xiumin Chu, Mohamed Abdel‐Aty, Xinping Yan, Helai Huang and Zhaoyuan Wang. Their work appears in journals such as Journal of Thermal Analysis and Calorimetry, Chemical Engineering Science, Journal of Colloid and Interface Science, International Journal of Pharmaceutics and Composites Part A Applied Science and Manufacturing.

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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