Haochen Hua

2.5k citations
79 papers · 1.7k indexed · 2 hit papers · h-index 21

Impact in

Papers in

Haochen Hua

70 papers receiving 1.6k citations

Hit Papers

Edge Computing with Artificial Intelligence: A Machine Learning Perspective 2022 · 267 citations
267201920262021202350100150200250

Peers

Haochen Hua
Comparison fields: 5 of 99
  • Energy Engineering and Power Technology 105
  • Control and Systems Engineering 708
  • Electrical and Electronic Engineering 1.1k
  • Computer Networks and Communications 289
  • Information Systems 192
Replace Shaowei Huang with:
Shaowei Huang China
Barry Hayes Ireland
Hossein Shahinzadeh Iran
Sijie Chen China
Hassan Farhangi Canada
Moslem Dehghani Iran
Koen Kok Netherlands
Haochen Hua relative to Shaowei Huang China Shaowei Huang's profile →
Citations per field
00.5×3.5×
Shaowei Huang · 1×
Citations per year

Countries citing papers authored by Haochen Hua

Since Specialization
Citations

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

Fields of papers citing papers by Haochen Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202427
2 20245
3 20243
4 202421
5 202421
6 20241
7 20240
8 20248
9 20237
10 20230
11 202313
12
Edge Computing with Artificial Intelligence: A Machine Learning Perspective
Hit paper breakdown →
2022267
13 20221
14 20220
15 20210
16 202126
17 20211
18 2021102
19 20187
20
A New Sensitivity Analysis Method of Frequency Response Function #86
19991

About Haochen Hua

Haochen Hua is a scholar working on Control and Systems Engineering, Energy Engineering and Power Technology, Electrical and Electronic Engineering, Computer Networks and Communications and Automotive Engineering, having authored 79 papers that have together received 1.7k indexed citations. Recurring topics across this work include Smart Grid Energy Management (49 papers), Microgrid Control and Optimization (37 papers), Optimal Power Flow Distribution (15 papers), Integrated Energy Systems Optimization (13 papers), Electric Vehicles and Infrastructure (9 papers), Frequency Control in Power Systems (9 papers), Smart Grid Security and Resilience (8 papers) and Hybrid Renewable Energy Systems (5 papers). The work is most often cited by research in Energy Engineering and Power Technology (105 citations), Control and Systems Engineering (708 citations), Electrical and Electronic Engineering (1.1k citations), Computer Networks and Communications (289 citations) and Information Systems (192 citations). Haochen Hua has collaborated with scholars based in China, United Kingdom and South Africa. Frequent co-authors include Junwei Cao, Yuchao Qin, Chuantong Hao, Tonghe Wang, Nanqing Dong, Yutong Li, Wei Li, Junwei Cao, Xingying Chen and Di Liu. Their work appears in journals such as Applied Energy, Energies, IEEE Transactions on Industrial Informatics, IEEE Transactions on Smart Grid and International Journal of Electrical Power & Energy Systems.

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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