Mingliang Wang

10 papers receiving 776 citations

Hit Papers

Deep & Cross Network for Ad Click Predictions20172026202020232017200400600

Peers

Mingliang Wang
Comparison fields: 5 of 88
  • Information Systems 460
  • Artificial Intelligence 373
  • Computer Vision and Pattern Recognition 245
  • Management Science and Operations Research 101
  • Computer Networks and Communications 89
Replace Abdullah Alamri with:
Abdullah Alamri Australia
Chunhua Hu China
Meina Song China
Zhibo Zhang China
Meng Qu United States
Bushra Alhijawi Jordan
Mingjun Xiao China
Xiaoxi Zhang China
Junde Song China
Shunmei Meng China
Mingliang Wang relative to Abdullah Alamri Australia Abdullah Alamri's profile →
Citations per field
00.5×4.2×
Abdullah Alamri · 1×
Citations per year

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

10 of 10 papers shown
#WorkIndexed citations
1 1
2 8
3 1
4
Deep & Cross Network for Ad Click Predictionsbreakdown →
641
5 38
6 74
7 6
8 17
9 1
10 21

About Mingliang Wang

Mingliang Wang is a scholar working on Automotive Engineering, Statistical and Nonlinear Physics and Statistics, Probability and Uncertainty, having authored 10 papers that have together received 808 indexed citations. Recurring topics across this work include Advanced Battery Technologies Research (3 papers), Advancements in Battery Materials (2 papers) and Control Systems and Identification (2 papers). The work is most often cited by research in Information Systems (460 citations), Computer Vision and Pattern Recognition (245 citations) and Artificial Intelligence (373 citations). Mingliang Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Bin Fu, Gang Fu, Ruoxi Wang, Han‐Xiong Li, Xin Chen, Yun Chen, Shouwei Li, Jianmin He, Wenjing Shen and Shanshan Wang. Their work appears in journals such as Journal of Power Sources, IEEE Transactions on Industrial Electronics and IEEE Transactions on Systems Man and Cybernetics Systems.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026