Mingliang Wang

1.4k total citations · 1 hit paper
10 papers, 808 citations indexed

About

Mingliang Wang is a scholar working on Artificial Intelligence, Automotive Engineering and Control and Systems Engineering. According to data from OpenAlex, Mingliang Wang has authored 10 papers receiving a total of 808 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Automotive Engineering and 2 papers in Control and Systems Engineering. Recurrent topics in Mingliang Wang's work include Advanced Battery Technologies Research (3 papers), Advancements in Battery Materials (2 papers) and Control Systems and Identification (2 papers). Mingliang Wang is often cited by papers focused on Advanced Battery Technologies Research (3 papers), Advancements in Battery Materials (2 papers) and Control Systems and Identification (2 papers). Mingliang Wang collaborates with scholars based in China, Hong Kong and United States. Mingliang Wang's co-authors include Gang Fu, Ruoxi Wang, Bin Fu, Han‐Xiong Li, Xin Chen, Yun Chen, Shouwei Li, Jianmin He, Wenjing Shen and Shengfeng Liu and has published in prestigious journals such as Journal of Power Sources, IEEE Transactions on Industrial Electronics and IEEE Transactions on Systems Man and Cybernetics Systems.

In The Last Decade

Mingliang Wang

10 papers receiving 776 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep & Cross Network for Ad Click Predictions

2017 641 citations Ruoxi Wang, Bin Fu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mingliang Wang China	7	460	373	245	101	89	10	808
Jia-Dong Zhang Hong Kong	20	900 2.0×	414 1.1×	141 0.6×	90 0.9×	257 2.9×	41	1.5k
Zhibo Zhang China	9	252 0.5×	352 0.9×	132 0.5×	39 0.4×	169 1.9×	30	688
Habiba Drias Algeria	17	324 0.7×	434 1.2×	115 0.5×	85 0.8×	209 2.3×	120	880
Bushra Alhijawi Jordan	11	344 0.7×	267 0.7×	104 0.4×	51 0.5×	139 1.6×	35	681
Meng Qu United States	17	203 0.4×	855 2.3×	161 0.7×	143 1.4×	45 0.5×	27	1.2k
Chunhua Hu China	11	246 0.5×	238 0.6×	119 0.5×	35 0.3×	299 3.4×	16	811
Bin Cao China	11	213 0.5×	218 0.6×	79 0.3×	35 0.3×	103 1.2×	76	610
Abdullah Alamri Australia	5	166 0.4×	454 1.2×	175 0.7×	37 0.4×	141 1.6×	10	781
Cheqing Jin China	19	416 0.9×	499 1.3×	125 0.5×	36 0.4×	441 5.0×	73	1.1k
Xun Zheng China	12	152 0.3×	504 1.4×	220 0.9×	36 0.4×	165 1.9×	22	813

Countries citing papers authored by Mingliang Wang

Since Specialization

Citations

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

Fields of papers citing papers by Mingliang Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingliang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Mingliang Wang. A scholar is included among the top collaborators of Mingliang 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 Mingliang Wang. Mingliang Wang 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:

10 of 10 papers shown

1.

Yang, Linqing, et al.. (2023). Equivalence method and transient flow characteristics of the integrated valve. Progress in Nuclear Energy. 168. 104990–104990. 1 indexed citations

2.

Shi, Jun, Linlin Wang, Shanshan Wang, et al.. (2020). Applications of deep learning in medical imaging: a survey. Journal of Image and Graphics. 25(10). 1953–1981. 8 indexed citations

3.

Wang, Weidong, Zhiyong Gao, Gang Meng, et al.. (2018). Integrated navigation method based on inertial and geomagnetic information fusion. 25. 48–48. 1 indexed citations

4.

Wang, Ruoxi, Bin Fu, Gang Fu, & Mingliang Wang. (2017). Deep & Cross Network for Ad Click Predictions. 1–7. 641 indexed citations breakdown →

5.

Wang, Mingliang & Han‐Xiong Li. (2016). Real-Time Estimation of Temperature Distribution for Cylindrical Lithium-Ion Batteries Under Boundary Cooling. IEEE Transactions on Industrial Electronics. 64(3). 2316–2324. 38 indexed citations

6.

Wang, Mingliang, Han‐Xiong Li, & Wenjing Shen. (2016). Deep auto-encoder in model reduction of lage-scale spatiotemporal dynamics. 3180–3186. 6 indexed citations

7.

Wang, Mingliang, Han‐Xiong Li, Xin Chen, & Yun Chen. (2016). Deep Learning-Based Model Reduction for Distributed Parameter Systems. IEEE Transactions on Systems Man and Cybernetics Systems. 46(12). 1664–1674. 74 indexed citations

8.

Wang, Mingliang & Han‐Xiong Li. (2015). Intelligent Modeling of Internal States for Battery. 53. 370–375. 1 indexed citations

9.

Wang, Mingliang & Han‐Xiong Li. (2015). Spatiotemporal modeling of internal states distribution for lithium-ion battery. Journal of Power Sources. 301. 261–270. 17 indexed citations

10.

Li, Shouwei, Mingliang Wang, & Jianmin He. (2013). Prediction of Banking Systemic Risk Based on Support Vector Machine. Mathematical Problems in Engineering. 2013. 1–5. 21 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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