Haibo Pen

435 citations
28 papers · 328 · h-index 9

Impact in

Papers in

Haibo Pen

23 papers receiving 323 citations

Peers

Haibo Pen
Comparison fields: 5 of 51
  • Control and Systems Engineering 187
  • Mechanical Engineering 84
  • Information Systems 47
  • Electrical and Electronic Engineering 120
  • Energy Engineering and Power Technology 6
Replace Tefang Chen with:
Tefang Chen China
Md Liton Hossain Australia
Yunrong Lv China
Debottam Mukherjee India
Yuchen Zhou China
Guochu Chen China
Seung-Ho Hyun South Korea
Zubair Amjad Germany
Fazhi Song China
Haibo Pen relative to Tefang Chen China Tefang Chen's profile →
Citations per field
00.5×3.3×
Tefang Chen · 1×
Citations per year

Countries citing papers authored by Haibo Pen

Since Specialization
Citations

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

Fields of papers citing papers by Haibo Pen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016155
2 201852
3 201621
4 201714
5 201813
6 20179
7 20179
8 20219
9 20188
10 20247
11 20206
12 20245
13 20234
14 20203
15 20243
16 20242
17 20162
18 20251
19
Blind Signal Separation Detection Method Based on Compressed Sensing
20161
20 20231

About Haibo Pen

Haibo Pen is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Information Systems and Computer Networks and Communications, having authored 28 papers that have together received 328 indexed citations. Recurring topics across this work include Smart Grid Security and Resilience (6 papers), Smart Grid Energy Management (5 papers), Microgrid Control and Optimization (4 papers), Advanced Algorithms and Applications (3 papers), Cloud Computing and Resource Management (3 papers), Smart Grid and Power Systems (3 papers), Advanced Image Processing Techniques (2 papers) and Image and Signal Denoising Methods (2 papers). The work is most often cited by research in Control and Systems Engineering (187 citations), Mechanical Engineering (84 citations), Information Systems (47 citations), Electrical and Electronic Engineering (120 citations) and Energy Engineering and Power Technology (6 citations). Haibo Pen has collaborated with scholars based in China, Singapore and Australia. Frequent co-authors include Ting Yang, Zhaoxia Wang, Yingjie Zhao, Zhaoxia Wang, Quan Wang, Dan Wang, Albert Y. Zomaya, Meng Wang, Jialin Liu and Dong Yuan. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Applied Energy, Energies, Applied Sciences and IEEE Transactions on Cloud Computing.

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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