Huiping Cao

2.2k citations
67 papers · 1.5k indexed · h-index 17
Topics
Data Management and Algorithms (12 papers)Time Series Analysis and Forecasting (9 papers)Effects of Environmental Stressors on Livestock (8 papers)
Journals
SHILAP Revista de lepidopterologíaThe Science of The Total EnvironmentSensors

In The Last Decade

Huiping Cao

56 papers receiving 1.4k citations

Peers

Huiping Cao
Comparison fields: 5 of 96
  • Electrical and Electronic Engineering 561
  • Signal Processing 519
  • Control and Systems Engineering 396
  • Artificial Intelligence 332
  • Information Systems 246
Replace Yu Cui with:
Yu Cui China
Ke Wang China
Alp Kut Türkiye
Alan Mainwaring United States
Ning Jing China
Huub van de Wetering Netherlands
Jason Sewall United States
Ye Zhao United States
Eduardo F. Nakamura Brazil
R. S. Ramakrishna South Korea
Huiping Cao relative to Yu Cui China Yu Cui's profile →
Citations per field
00.5×6.8×
Yu Cui · 1×
Citations per year

Countries citing papers authored by Huiping Cao

Since Specialization
Citations

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

Fields of papers citing papers by Huiping Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huiping Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Huiping Cao. A scholar is included among the top collaborators of Huiping Cao 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 Huiping Cao. Huiping Cao 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 0
3 4
4 8
5 0
6 0
7 11
8 5
9 1
10 0
11 5
12 31
13 2
14 199
15 3
16 1
17 5
18 31
19 0
20 5

About Huiping Cao

Huiping Cao is a scholar working on Signal Processing, Small Animals and Animal Science and Zoology, having authored 67 papers that have together received 1.5k indexed citations. Recurring topics across this work include Data Management and Algorithms (12 papers), Time Series Analysis and Forecasting (9 papers) and Effects of Environmental Stressors on Livestock (8 papers). The work is most often cited by research in Signal Processing (519 citations), Transportation (200 citations) and Control and Systems Engineering (396 citations). Huiping Cao has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Sukumar Brahma, Nikos Mamoulis, Milan Biswal, David W. Cheung, David W. Cheung, Michael S. Brown, Satish J. Ranade, George Kollios, Marios Hadjieleftheriou and Yufei Tao. Their work appears in journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Sensors.

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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