Mingli Song

999 total citations
29 papers, 751 citations indexed

About

Mingli Song is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Mingli Song has authored 29 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 17 papers in Computational Theory and Mathematics and 9 papers in Management Science and Operations Research. Recurrent topics in Mingli Song's work include Rough Sets and Fuzzy Logic (15 papers), Fuzzy Logic and Control Systems (10 papers) and Neural Networks and Applications (9 papers). Mingli Song is often cited by papers focused on Rough Sets and Fuzzy Logic (15 papers), Fuzzy Logic and Control Systems (10 papers) and Neural Networks and Applications (9 papers). Mingli Song collaborates with scholars based in China, Canada and Poland. Mingli Song's co-authors include Witold Pedrycz, Yongbin Wang, Xiaodong Liu, Tianyou Chai, Mingyu You, Chun Chen, Zhuo Sun, Dacheng Tao, Xuelong Li and Yan Li and has published in prestigious journals such as Pattern Recognition, Information Sciences and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Mingli Song

27 papers receiving 735 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mingli Song China	12	326	311	284	97	96	29	751
Ali Morfeq Saudi Arabia	14	462 1.4×	435 1.4×	340 1.2×	68 0.7×	90 0.9×	43	886
Guangquan Huang China	17	188 0.6×	416 1.3×	100 0.4×	49 0.5×	97 1.0×	26	757
Radim Jiroušek Czechia	10	464 1.4×	220 0.7×	110 0.4×	41 0.4×	62 0.6×	37	767
Bing-Yuan Cao China	16	156 0.5×	503 1.6×	302 1.1×	48 0.5×	299 3.1×	71	834
Zhu Zhen-fu China	5	309 0.9×	325 1.0×	156 0.5×	103 1.1×	135 1.4×	8	711
C.M.H. Kuijpers Spain	4	672 2.1×	136 0.4×	218 0.8×	104 1.1×	80 0.8×	4	1.0k
Hyung Lee-Kwang South Korea	16	339 1.0×	368 1.2×	225 0.8×	53 0.5×	383 4.0×	48	1.0k
Myriam Delgado Brazil	19	503 1.5×	88 0.3×	244 0.9×	53 0.5×	128 1.3×	87	899
María José Gacto Spain	14	1.1k 3.3×	178 0.6×	248 0.9×	60 0.6×	137 1.4×	33	1.3k
Catherine K. Murphy United States	4	411 1.3×	366 1.2×	186 0.7×	68 0.7×	129 1.3×	7	817

Countries citing papers authored by Mingli Song

Since Specialization

Citations

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

Fields of papers citing papers by Mingli Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingli Song

This figure shows the co-authorship network connecting the top 25 collaborators of Mingli Song. A scholar is included among the top collaborators of Mingli Song 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 Mingli Song. Mingli Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Li, Ping, et al.. (2024). Pseudo-labeling with keyword refining for few-supervised video captioning. Pattern Recognition. 159. 111176–111176. 4 indexed citations

Song, Mingli & Ruobing Wang. (2024). Complexity-aided time series modeling and forecasting under a decomposition-aggregation framework. Information Sciences. 664. 120352–120352. 2 indexed citations

He, Shuibing, Yanlong Yin, Rui Wang, et al.. (2024). Enumeration of Billions of Maximal Bicliques in Bipartite Graphs without Using GPUs. 1–15. 2 indexed citations

Yu, Na, et al.. (2024). Multi-Channel Graph Fusion Representation for Tabular Data Imputation. 1–8.

Song, Mingli, Yan Li, & Witold Pedrycz. (2023). Time series prediction with granular neural networks. Neurocomputing. 546. 126328–126328. 7 indexed citations

Song, Mingli, Ruobing Wang, & Yan Li. (2023). Hybrid time series interval prediction by granular neural network and ARIMA. Granular Computing. 9(1). 5 indexed citations

Song, Mingli, et al.. (2022). Feature ranking based on an improved granular neural network. Granular Computing. 8(1). 209–222. 2 indexed citations

Song, Mingli, et al.. (2022). A comprehensive study on effect of multi-subgroup background in group decision-making. Soft Computing. 26(24). 13543–13566. 1 indexed citations

Song, Mingli, et al.. (2021). Few samples learning based on granular neural networks. Granular Computing. 7(3). 577–589. 4 indexed citations

10.

Song, Mingli, et al.. (2021). An Approach to Determine Best Cutting-points in Group Decision Making Problems with Information Granules. 1–6. 1 indexed citations

11.

Song, Mingli, et al.. (2019). Granular neural networks: A study of optimizing allocation of information granularity in input space. Applied Soft Computing. 77. 67–75. 15 indexed citations

12.

Song, Mingli, et al.. (2016). An improvement of partheno-genetic algorithm to solve multiple travelling salesmen problem. 1–6. 9 indexed citations

13.

Song, Mingli & Yongbin Wang. (2016). A study of granular computing in the agenda of growth of artificial neural networks. Granular Computing. 1(4). 247–257. 65 indexed citations

14.

Song, Mingli & Yongbin Wang. (2014). Human centricity and information granularity in the agenda of theories and applications of soft computing. Applied Soft Computing. 27. 610–613. 12 indexed citations

15.

Pedrycz, Witold & Mingli Song. (2012). Granular fuzzy models: a study in knowledge management in fuzzy modeling. International Journal of Approximate Reasoning. 53(7). 1061–1079. 36 indexed citations

16.

Pedrycz, Witold & Mingli Song. (2012). A genetic reduction of feature space in the design of fuzzy models. Applied Soft Computing. 12(9). 2801–2816. 11 indexed citations

17.

Pedrycz, Witold & Mingli Song. (2011). Analytic Hierarchy Process (AHP) in Group Decision Making and its Optimization With an Allocation of Information Granularity. IEEE Transactions on Fuzzy Systems. 19(3). 527–539. 223 indexed citations

18.

Pedrycz, Witold & Mingli Song. (2011). A granulation of linguistic information in AHP decision-making problems. Information Fusion. 17. 93–101. 87 indexed citations

19.

Song, Mingli, Dacheng Tao, Zhuo Sun, & Xuelong Li. (2010). Visual-Context Boosting for Eye Detection. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 40(6). 1460–1467. 20 indexed citations

20.

Guo, Zhang & Mingli Song. (2010). Static output feedback control for discrete-time fuzzy bilinear system. Journal of Systems Engineering and Electronics. 21(2). 296–299. 8 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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