Yuefen Wang

456 total citations
16 papers, 163 citations indexed

About

Yuefen Wang is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Yuefen Wang has authored 16 papers receiving a total of 163 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Information Systems and 3 papers in Computational Theory and Mathematics. Recurrent topics in Yuefen Wang's work include Text and Document Classification Technologies (7 papers), Sentiment Analysis and Opinion Mining (3 papers) and Rough Sets and Fuzzy Logic (3 papers). Yuefen Wang is often cited by papers focused on Text and Document Classification Technologies (7 papers), Sentiment Analysis and Opinion Mining (3 papers) and Rough Sets and Fuzzy Logic (3 papers). Yuefen Wang collaborates with scholars based in China and Pakistan. Yuefen Wang's co-authors include Songbo Tan, Xueqi Cheng, Gaowei Wu, Muhammad Zada, Shagufta Zada, Peng Guan, Jianfeng Li, Inam Ullah, Chuan‐Hui Zhang and Xuhui Ding and has published in prestigious journals such as Expert Systems with Applications, BioResources and International Journal of Mental Health Promotion.

In The Last Decade

Yuefen Wang

15 papers receiving 147 citations

Peers

Yuefen Wang

AI

IS

SPS

SP

CP

Chris Eckl United Kingdom

Leilani H. Gilpin United States

Alfred Krzywicki Australia

Mohammad Abid Khan Pakistan

Mohammed Albared Malaysia

Furqan Khan Pakistan

Marc Franco-Salvador Spain

Ryohei Sasano Japan

Mehwish Alam Germany

Isa Maks Netherlands

Chris Eckl United Kingdom

Yuefen Wang

174 ×1.6

AI

25 ×0.5

IS

25 ×1.8

SPS

23 ×1.9

SP

5 ×0.5

CP

Citations per year, relative to Yuefen Wang Yuefen Wang (= 1×) peers Chris Eckl

Countries citing papers authored by Yuefen Wang

Since Specialization

Citations

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

Fields of papers citing papers by Yuefen Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuefen Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yuefen Wang. A scholar is included among the top collaborators of Yuefen Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yuefen Wang. Yuefen Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

1.

Wang, Yuefen, et al.. (2024). Entrepreneurship and Carbon Footprints in Sub-Saharan Africa. Problemy Ekorozwoju. 19(1). 221–231. 1 indexed citations

2.

Zada, Shagufta, et al.. (2021). Effect of Mental Health Problems on Academic Performance among University Students in Pakistan. International Journal of Mental Health Promotion. 23(3). 395–408. 22 indexed citations

3.

Wang, Yuefen, et al.. (2020). Study of depression in university students in Pakistan. Journal of the Pakistan Medical Association. 70(0). 1–1. 3 indexed citations

4.

Wang, Yuefen, et al.. (2020). How to protect factory workers from COVID-19?. BioResources. 15(4). 7315–7318. 3 indexed citations

5.

Wang, Yuefen, et al.. (2019). Semantic Representation of Design Process Knowledge Reuse. Shuju fenxi yu zhishi faxian. 3(6). 21–29. 1 indexed citations

6.

Guan, Peng, et al.. (2016). Effect Analysis of Scientific Literature Topic Extraction Based on LDA Topic Model with Different Corpus. 60(2). 121. 5 indexed citations

7.

Tan, Songbo & Yuefen Wang. (2011). Weighted SCL model for adaptation of sentiment classification. Expert Systems with Applications. 38(8). 10524–10531. 9 indexed citations

8.

Zhang, Chuan‐Hui & Yuefen Wang. (2011). Heilongjiang e-government construction in light of the existing problems and puts forward the countermeasures. 2. 404–407.

9.

Tan, Songbo, Yuefen Wang, & Gaowei Wu. (2011). Adapting centroid classifier for document categorization. Expert Systems with Applications. 38(8). 10264–10273. 18 indexed citations

10.

Li, Jianfeng, et al.. (2011). Research on Chinese small and medium-sized businesses’ human resource management. Procedia Engineering. 15. 5310–5312. 2 indexed citations

11.

Tan, Songbo, Yuefen Wang, & Xueqi Cheng. (2008). Combining learn-based and lexicon-based techniques for sentiment detection without using labeled examples. 743–744. 60 indexed citations

12.

Tan, Songbo, Yuefen Wang, & Xueqi Cheng. (2008). An efficient feature ranking measure for text categorization. 407–413. 5 indexed citations

13.

Tan, Songbo, Yuefen Wang, Gaowei Wu, & Xueqi Cheng. (2008). Using unlabeled data to handle domain-transfer problem of semantic detection. 896–903. 8 indexed citations

14.

Tan, Songbo & Yuefen Wang. (2007). Combining error-correcting output codes and model-refinement for text categorization. 699–700. 2 indexed citations

15.

Tan, Songbo, Yuefen Wang, & Xueqi Cheng. (2007). Text Feature Ranking Based on Rough-set Theory. 18 indexed citations

16.

Tan, Songbo, Yuefen Wang, & Xueqi Cheng. (2007). Text Feature Ranking Based on Rough-set Theory. 659–662. 6 indexed citations

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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