Mingming Ha

39 papers receiving 1.2k citations

Mingming Ha's Hit Papers

The intelligent critic framework for advanced optimal control 2022 · 154 citations
1540+1+2Years since publication50100150

Peers

Mingming Ha
Comparison fields: 5 of 51
  • Computational Theory and Mathematics 883
  • Control and Systems Engineering 262
  • Pollution 36
  • Waste Management and Disposal 20
  • Computer Networks and Communications 59
Replace Wenqian Xue with:
Wenqian Xue United States
Yoriyuki Yamagata Japan
Cuie Yang China
Paolo F. Sciammarella Italy
Hanguang Su China
Fuchun Liu China
Torsten Blochwitz Germany
Shuwei Zhu China
Xue Feng China
Mingming Ha relative to Wenqian Xue United States Wenqian Xue's profile →
Citations per field
00.5×10×20×26.5×
Wenqian Xue · 1×
Citations per year

Countries citing papers authored by Mingming Ha

Since Specialization
Citations

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

Fields of papers citing papers by Mingming Ha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Mingming Ha, 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 Mingming Ha Line = papers co-authored together Mingming Ha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020193
2 2019169
3
The intelligent critic framework for advanced optimal control
Hit paper breakdown →
2022154
4
Discounted Iterative Adaptive Critic Designs With Novel Stability Analysis for Tracking Control
Hit paper breakdown →
2022132
5 201882
6 202355
7 202150
8 202147
9 202044
10 202341
11 202233
12 202129
13 202126
14 202025
15 202123
16 202321
17 202016
18 202013
19 202313
20 202110

About Mingming Ha

Mingming Ha is a scholar working on Computational Theory and Mathematics, Information Systems, Artificial Intelligence, Statistics and Probability and Management Science and Operations Research, having authored 42 papers that have together received 1.2k indexed citations. Recurring topics across this work include Adaptive Dynamic Programming Control (35 papers), Recommender Systems and Techniques (4 papers), Domain Adaptation and Few-Shot Learning (2 papers), Statistical Methods and Bayesian Inference (1 paper), Statistical Methods and Inference (1 paper), Reinforcement Learning in Robotics (1 paper), Advanced Bandit Algorithms Research (1 paper) and Machine Learning and Data Classification (1 paper). The work is most often cited by research in Computational Theory and Mathematics (883 citations), Control and Systems Engineering (262 citations), Pollution (36 citations), Waste Management and Disposal (20 citations) and Computer Networks and Communications (59 citations). Mingming Ha has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Ding Wang, Junfei Qiao, Derong Liu, Mingming Zhao, Long Cheng, Lingzhi Hu, Jun Yan, Xiaobo Guo, Shan Xue and Zhenfeng Zhu. Their work appears in journals such as IEEE Transactions on Cybernetics, IEEE Transactions on Neural Networks and Learning Systems, Artificial Intelligence Review, International Journal of Robust and Nonlinear Control 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.

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