Hefei Wang

94 papers receiving 1.9k citations

Hefei Wang's Hit Papers

A hybrid model integrating deep learning with investor sentiment analysis for stock price prediction 2021 · 240 citations
2400+1+3Years since publication50100150200

Peers

Hefei Wang
Comparison fields: 5 of 161
  • Renewable Energy, Sustainability and the Environment 387
  • Management Science and Operations Research 192
  • Water Science and Technology 189
  • Pollution 138
  • Finance 115
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Hefei Wang relative to Mei Wang China Mei Wang's profile →
Citations per field
00.5×9.6×
Mei Wang · 1×
Citations per year

Countries citing papers authored by Hefei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hefei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A hybrid model integrating deep learning with investor sentiment analysis for stock price prediction
Hit paper breakdown →
2021240
2 2016202
3 2015135
4 2014106
5 201775
6 201760
7 202256
8 201751
9 201445
10 201544
11 202036
12 200836
13 202035
14 201935
15 201032
16 201930
17 201528
18 201926
19 201426
20 202326

About Hefei Wang

Hefei Wang is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Materials Chemistry, Finance and Pollution, having authored 108 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Advanced Photocatalysis Techniques (5 papers), Banking stability, regulation, efficiency (5 papers), Financial Markets and Investment Strategies (5 papers), Microbial Fuel Cells and Bioremediation (5 papers), Parkinson's Disease Mechanisms and Treatments (5 papers), Economic theories and models (4 papers) and Pharmaceutical and Antibiotic Environmental Impacts (4 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (387 citations), Management Science and Operations Research (192 citations), Water Science and Technology (189 citations), Pollution (138 citations) and Finance (115 citations). Hefei Wang has collaborated with scholars based in China, United States and Egypt. Frequent co-authors include Chuanyu Qin, Yongsheng Zhao, Yuanguo Xu, Hui Xu, Tianyi Li, Yinan Wang, Zhen Chen, Shuquan Huang, Huaming Li and Lizhong Zhu. Their work appears in journals such as International Immunopharmacology, Journal of Surfactants and Detergents, Journal of Hazardous Materials, Environment International and Applied Soil Ecology.

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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