Fei-Fei Ye

503 citations

32 papers · 364 · h-index 14

Impact in

Management Science and Operations Research top 5%
- Multi-Criteria Decision Making
- Efficiency Analysis Using DEA
Artificial Intelligence top 10%
- Bayesian Modeling and Causal Inference
- Neural Networks and Applications
- Fuzzy Logic and Control Systems

Papers in

Management Science and Operations Research 15
- Multi-Criteria Decision Making 13
- Grey System Theory Applications 5
- Efficiency Analysis Using DEA 5
Environmental Engineering 10
- Environmental Impact and Sustainability 9

Co-authors: Long-Hao Yang (26 shared papers)Ying‐Ming Wang (7 shared papers)Jun Liu (9 shared papers)Haitian Lu (9 shared papers)Ying-Ming Wang (5 shared papers)Haibo Hu (7 shared papers)Hui Wang (3 shared papers)Luis Martı́nez (2 shared papers)
Journals: Journal of Cleaner Production (4 papers)Expert Systems with Applications (3 papers)Computers & Industrial Engineering (3 papers)Knowledge-Based Systems (2 papers)International Journal of Machine Learning and Cybernetics (1 paper)
Partner nations: China United Kingdom Hong Kong

In The Last Decade

Fei-Fei Ye

29 papers receiving 359 citations

Peers

Countries citing papers authored by Fei-Fei Ye

Since Specialization

Citations

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

Fields of papers citing papers by Fei-Fei Ye

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fei-Fei Ye. 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 Fei-Fei Ye. The network helps show where Fei-Fei Ye may publish in the future.

Co-authors

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

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Highly explainable cumulative belief rule-based system with effective rule-base modeling and inference scheme Knowledge-Based Systems ·Long-Hao Yang, Jun Liu, Fei-Fei Ye, Ying-Ming Wang, Chris Nugent, Hui Wang, Luis Martı́nez	2021	43
2	Ensemble belief rule base modeling with diverse attribute selection and cautious conjunctive rule for classification problems Expert Systems with Applications ·Long-Hao Yang, Fei-Fei Ye, Ying‐Ming Wang	2019	29
3	Conjugated Bile Acids in Gallbladder Bile and Serum as Potential Biomarkers for Cholesterol Polyps and Adenomatous Polyps The International Journal of Biological Markers ·Mei-Fen Zhao, Peng Huang, Chunlin Ge, Tao Sun, Zhigang Ma, Fei-Fei Ye	2015	25
4	Extended belief rule based system with joint learning for environmental governance cost prediction Ecological Indicators ·Ying‐Ming Wang, Fei-Fei Ye, Long-Hao Yang	2020	24
5	An environmental pollution management method based on extended belief rule base and data envelopment analysis under interval uncertainty Computers & Industrial Engineering ·Fei-Fei Ye, Long-Hao Yang, Ying‐Ming Wang, Lei Chen	2020	20
6	Environmental investment prediction using extended belief rule-based system and evidential reasoning rule Journal of Cleaner Production ·Long-Hao Yang, Suhui Wang, Fei-Fei Ye, Jun Liu, Ying-Ming Wang, Haibo Hu	2021	19
7	Belief rule-base expert system with multilayer tree structure for complex problems modeling Expert Systems with Applications ·Long-Hao Yang, Fei-Fei Ye, Jun Liu, Ying‐Ming Wang	2023	17
8	A novel data-driven decision model based on extended belief rule base to predict China's carbon emissions Journal of Environmental Management ·Fei-Fei Ye, Long-Hao Yang, Haitian Lu, Ying‐Ming Wang	2022	17
9	An improved fuzzy rule-based system using evidential reasoning and subtractive clustering for environmental investment prediction Fuzzy Sets and Systems ·Long-Hao Yang, Fei-Fei Ye, Jun Liu, Ying-Ming Wang, Haibo Hu	2021	17
10	A data-driven rule-based system for China’s traffic accident prediction by considering the improvement of safety efficiency Computers & Industrial Engineering ·Fei-Fei Ye, Long-Hao Yang, Ying-Ming Wang, Haitian Lu	2022	16
11	Extended belief rule-based model for environmental investment prediction with indicator ensemble selection International Journal of Approximate Reasoning ·Fei-Fei Ye, Suhui Wang, Peter Nicholl, Long-Hao Yang, Ying-Ming Wang	2020	15
12	An ensemble extended belief rule base decision model for imbalanced classification problems Knowledge-Based Systems ·Long-Hao Yang, Tianyu Ren, Fei-Fei Ye, Peter Nicholl, Ying‐Ming Wang, Haitian Lu	2022	14
13	A new environmental governance cost prediction method based on indicator synthesis and different risk coefficients Journal of Cleaner Production ·Fei-Fei Ye, Long-Hao Yang, Ying‐Ming Wang	2018	14
14	The effects of two types of environmental regulations on economic efficiency: An analysis of Chinese industries Energy & Environment ·Fei-Fei Ye, Ying‐Ming Wang	2018	13
15	An interval efficiency evaluation model for air pollution management based on indicators integration and different perspectives Journal of Cleaner Production ·Fei-Fei Ye, Long-Hao Yang, Ying‐Ming Wang	2019	12
16	Extended belief rule-based system using bi-level joint optimization for environmental investment forecasting Applied Soft Computing ·Long-Hao Yang, Fei-Fei Ye, Ying-Ming Wang, Yixing Lan, Chan Li	2023	10
17	Fuzzy rule based system with feature extraction for environmental governance cost prediction Journal of Intelligent & Fuzzy Systems ·Fei-Fei Ye, Long-Hao Yang, Ying‐Ming Wang	2019	10
18	A data-driven rule-base approach for carbon emission trend forecast with environmental regulation and efficiency improvement Sustainable Production and Consumption ·Long-Hao Yang, Fei-Fei Ye, Haibo Hu, Haitian Lu, Ying‐Ming Wang, Wenjun Chang	2024	8
19	Environmental Governance Cost Prediction of Transportation Industry by Considering the Technological Constraints Symmetry ·Suhui Wang, Fei-Fei Ye	2020	7
20	Enterprise performance online evaluation based on extended belief rule-base model Expert Systems with Applications ·Fei-Fei Ye, Long-Hao Yang, Haitian Lu, Haibo Hu, Ying‐Ming Wang	2024	6

About Fei-Fei Ye

Fei-Fei Ye is a scholar working on Management Science and Operations Research, Environmental Engineering, Economics and Econometrics, Artificial Intelligence and Electrical and Electronic Engineering, having authored 32 papers that have together received 364 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (13 papers), Environmental Impact and Sustainability (9 papers), Energy, Environment, Economic Growth (8 papers), Grey System Theory Applications (5 papers), Efficiency Analysis Using DEA (5 papers), Energy Load and Power Forecasting (4 papers), Water resources management and optimization (4 papers) and Rough Sets and Fuzzy Logic (3 papers). The work is most often cited by research in Management Science and Operations Research (114 citations), Artificial Intelligence (147 citations), Environmental Engineering (59 citations), Computational Theory and Mathematics (52 citations) and Economics and Econometrics (52 citations). Fei-Fei Ye has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Long-Hao Yang, Ying‐Ming Wang, Ying‐Ming Wang, Jun Liu, Haitian Lu, Ying-Ming Wang, Haibo Hu, Hui Wang, Luis Martı́nez and Ying-Ming Wang. Their work appears in journals such as Journal of Cleaner Production, Expert Systems with Applications, Computers & Industrial Engineering, Knowledge-Based Systems and International Journal of Machine Learning and Cybernetics.

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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Fei-Fei Ye

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In The Last Decade

Fei-Fei Ye

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About Fei-Fei Ye

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