Baohua Wang

3.1k citations
210 papers · 2.3k · 1 hit paper · h-index 27

Impact in

Papers in

Baohua Wang

188 papers receiving 2.3k citations

Baohua Wang's Hit Papers

Well performance prediction based on Long Short-Term Memory (LSTM) neural network 2021 · 142 citations
1420+1+3Years since publication4080120

Peers

Baohua Wang
Comparison fields: 5 of 147
  • Filtration and Separation 144
  • Materials Chemistry 772
  • Electrical and Electronic Engineering 816
  • Polymers and Plastics 193
  • Ocean Engineering 210
Replace José A. Romagnoli with:
José A. Romagnoli United States
Ka Ming Ng Hong Kong
Hairong Wang China
M.A. Hussain Malaysia
David Shan‐Hill Wong Taiwan
Gade Pandu Rangaiah Singapore
B. V. Babu India
Urmila M. Diwekar United States
Sandro Macchietto United Kingdom
Behzad Vaferi Iran
Baohua Wang relative to José A. Romagnoli United States José A. Romagnoli's profile →
Citations per field
00.5×1.5×2.3×
José A. Romagnoli · 1×
Citations per year

Countries citing papers authored by Baohua Wang

Since Specialization
Citations

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

Fields of papers citing papers by Baohua Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 210 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Well performance prediction based on Long Short-Term Memory (LSTM) neural network
Hit paper breakdown →
2021142
2 2014111
3 201189
4 202386
5 201483
6 201680
7 202374
8 201553
9 201551
10 200946
11 202044
12 201343
13 202342
14 201841
15 202239
16 200738
17 202038
18 202337
19 201737
20 202136

About Baohua Wang

Baohua Wang is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering, Control and Systems Engineering, Materials Chemistry and Automotive Engineering, having authored 210 papers that have together received 2.3k indexed citations. Recurring topics across this work include Vehicle Dynamics and Control Systems (23 papers), Crystallization and Solubility Studies (13 papers), Hydraulic Fracturing and Reservoir Analysis (12 papers), Electric and Hybrid Vehicle Technologies (12 papers), Perovskite Materials and Applications (12 papers), Enhanced Oil Recovery Techniques (11 papers), Chemical and Physical Properties in Aqueous Solutions (10 papers) and High-Voltage Power Transmission Systems (9 papers). The work is most often cited by research in Filtration and Separation (144 citations), Materials Chemistry (772 citations), Electrical and Electronic Engineering (816 citations), Polymers and Plastics (193 citations) and Ocean Engineering (210 citations). Baohua Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Tao Chen, Xudong Xiao, King Young Wong, Pinaki Mazumder, Xiaolong Wang, Hejiao Huang, Rui Wang, Lei Ding, Bingquan Wang and Shiwei He. Their work appears in journals such as Journal of Molecular Liquids, Applied Optics, Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering, Scientific Reports and Journal of environmental chemical engineering.

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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