Xingyou Wang

518 citations
15 papers · 221 · h-index 5

Impact in

Papers in

    • Biochemical and Molecular Research 4
    • Extracellular vesicles in disease 4
    • Advanced biosensing and bioanalysis techniques 3
    • Cytomegalovirus and herpesvirus research 2
    • Pneumocystis jirovecii pneumonia detection and treatment 1

Xingyou Wang

13 papers receiving 207 citations

Peers

Xingyou Wang
Comparison fields: 5 of 59
  • Artificial Intelligence 139
  • Management Science and Operations Research 16
  • Information Systems 29
  • General Social Sciences 3
  • Physiology 3
Replace Taeuk Kim with:
Taeuk Kim South Korea
Liu Jian China
Svetla Boytcheva Bulgaria
Huiwei Zhou China
Xiangru Tang United States
Marcos Martínez-Romero Spain
Sofia Pinto Portugal
Parth Mehta India
Alexander R. Fabbri United States
David Luis Wiegandt Germany
Xingyou Wang relative to Taeuk Kim South Korea Taeuk Kim's profile →
Citations per field
00.5×9.3×
Taeuk Kim · 1×
Citations per year

Countries citing papers authored by Xingyou Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xingyou Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1
Combination of Convolutional and Recurrent Neural Network for Sentiment Analysis of Short Texts
2016159
2 202321
3 20247
4 20197
5 20256
6 20234
7 20244
8 20204
9 20253
10 20252
11 20252
12 20251
13 20211
14 20250
15 20160

About Xingyou Wang

Xingyou Wang is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Materials Chemistry and Computer Networks and Communications, having authored 15 papers that have together received 221 indexed citations. Recurring topics across this work include Biochemical and Molecular Research (4 papers), Extracellular vesicles in disease (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), Cytomegalovirus and herpesvirus research (2 papers), HIV/AIDS drug development and treatment (2 papers), Cerebrospinal fluid and hydrocephalus (1 paper), Sentiment Analysis and Opinion Mining (1 paper) and Pneumocystis jirovecii pneumonia detection and treatment (1 paper). The work is most often cited by research in Artificial Intelligence (139 citations), Management Science and Operations Research (16 citations), Information Systems (29 citations), General Social Sciences (3 citations) and Physiology (3 citations). Xingyou Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhiyong Luo, Weijie Jiang, Qiangying Yi, Yao Wu, Nanhang Zhu, Ke Won Kang, Yujia Zhang, Yue Yu, Lizbeth Hedstrom and Kang An. Their work appears in journals such as Advanced Functional Materials, Frontiers in Public Health, Journal of Materials Chemistry B, The FASEB Journal and ACS 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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