Baiping Chen

452 citations
12 papers · 264 · 1 hit paper · h-index 6

Impact in

Papers in

Baiping Chen

10 papers receiving 254 citations

Baiping Chen's Hit Papers

Parallel spatio-temporal attention-based TCN for multivariate time series prediction 2021 · 193 citations
1930+1+3Years since publication50100150

Peers

Baiping Chen
Comparison fields: 5 of 86
  • Signal Processing 38
  • Management Science and Operations Research 29
  • Environmental Engineering 30
  • Industrial and Manufacturing Engineering 20
  • Building and Construction 26
Replace Renzhuo Wan with:
Renzhuo Wan China
Taoseef Ishtiak Bangladesh
King Ma Canada
José María Luna-Romera Spain
Pius Kwao Gadosey China
Arpit Kumar Sharma India
Tobias Pielok Germany
Ye Gao China
Abdul Rahman Mohd Saad Malaysia
Baiping Chen relative to Renzhuo Wan China Renzhuo Wan's profile →
Citations per field
00.5×1.5×
Renzhuo Wan · 1×
Citations per year

Countries citing papers authored by Baiping Chen

Since Specialization
Citations

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

Fields of papers citing papers by Baiping Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Baiping Chen, 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 Baiping Chen Line = papers co-authored together Baiping Chen links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Parallel spatio-temporal attention-based TCN for multivariate time series prediction
Hit paper breakdown →
2021193
2 202132
3 20209
4 20209
5 20205
6 20205
7 20213
8 20213
9 20233
10 20221
11 20221
12 20210

About Baiping Chen

Baiping Chen is a scholar working on Signal Processing, Artificial Intelligence, Computer Networks and Communications, Molecular Biology and Information Systems, having authored 12 papers that have together received 264 indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (3 papers), Neural Networks and Applications (2 papers), Traffic Prediction and Management Techniques (2 papers), Stock Market Forecasting Methods (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Animal Genetics and Reproduction (1 paper), Semantic Web and Ontologies (1 paper) and Advanced machining processes and optimization (1 paper). The work is most often cited by research in Signal Processing (38 citations), Management Science and Operations Research (29 citations), Environmental Engineering (30 citations), Industrial and Manufacturing Engineering (20 citations) and Building and Construction (26 citations). Baiping Chen has collaborated with scholars based in China, Germany and Australia. Frequent co-authors include Ke Zhang, Jin Fan, Wen Xie, John Wong, Huifeng Wu, Danfeng Sun, Feiwei Qin, Feng Hou, Sen Wang and John W. Wong. Their work appears in journals such as Nature Reviews Drug Discovery, Complexity, Applied Sciences, IEEE Transactions on Cloud Computing and IEEE Transactions on Industrial Informatics.

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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