Jianhui Mou

1.0k total citations
29 papers, 803 citations indexed

About

Jianhui Mou is a scholar working on Industrial and Manufacturing Engineering, Electrical and Electronic Engineering and Automotive Engineering. According to data from OpenAlex, Jianhui Mou has authored 29 papers receiving a total of 803 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Industrial and Manufacturing Engineering, 9 papers in Electrical and Electronic Engineering and 8 papers in Automotive Engineering. Recurrent topics in Jianhui Mou's work include Scheduling and Optimization Algorithms (16 papers), Advanced Manufacturing and Logistics Optimization (13 papers) and Advanced Battery Technologies Research (8 papers). Jianhui Mou is often cited by papers focused on Scheduling and Optimization Algorithms (16 papers), Advanced Manufacturing and Logistics Optimization (13 papers) and Advanced Battery Technologies Research (8 papers). Jianhui Mou collaborates with scholars based in China, India and Macao. Jianhui Mou's co-authors include Liang Gao, Junqing Li, Akhil Garg, Kaizhou Gao, Su Shaosen, Xinyu Li, Wei Li, Peiyong Duan, Xiaolong Chen and Chao Lu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Energy.

In The Last Decade

Jianhui Mou

27 papers receiving 778 citations

Peers

Countries citing papers authored by Jianhui Mou

Since Specialization

Citations

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

Fields of papers citing papers by Jianhui Mou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianhui Mou

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Analysis of Dynamic Responses of Floating Offshore Wind Turbines in Typical Upstream Wake Conditions Based on an Innovative Coupled Dynamic Analysis Method 2025 ·Journal of Marine Science and Engineering ·(unknown), (unknown), Jianhui Mou, Junjie Yang, Xinran Zhu	0
2	A data-driven SOE estimation framework for lithium-ion batteries under drive cycle conditions over wide temperature range 2025 ·Energy ·Jianhui Mou, Wenqi Zhou, (unknown), Qiang Fu, Bo Wang, (unknown), Junjie Li	2
3	A Novel Self‐Reconfigurable Battery Pack Design with and without Active Cell Balancing 2024 ·Energy Technology ·(unknown), Wei Li, (unknown), Jianhui Mou, (unknown), Liang Gao, (unknown)	4
4	Mutual coupling suppression of MIMO array with non-uniform curved-strip EBG structure via shape and layout co-optimization 2024 ·AEU - International Journal of Electronics and Communications ·(unknown), Tian Wang, (unknown), Zhiqiang Lyu, Xiangyu Tian, Jianhui Mou	3
5	Multi-Scenario Deep Learning-Based Framework to Estimate the Remaining Charge Time of Lithium-Ion Power Batteries 2024 ·Jianhui Mou, Chengzhong Yu, Peiyong Duan, Junjie Li, Chunjiang Zhang, Yuhui Liu, Xinhua Liu, Akhil Garg, Su Shaosen	0
6	Prediction of the Remaining Useful Life of Lithium-Ion Batteries Based on the 1D CNN-BLSTM Neural Network 2024 ·Batteries ·Jianhui Mou, Qingxin Yang, (unknown), Yuhui Liu, Junjie Li, (unknown)	10
7	Integrated scheduling problems of open shop and vehicle routing using an ensemble of group teaching optimization and simulated annealing 2023 ·Swarm and Evolutionary Computation ·(unknown), Yaping Fu, Kaizhou Gao, (unknown), Jianhui Mou	20
8	A knowledge-based multi-objective evolutionary algorithm for solving home health care routing and scheduling problems with multiple centers 2023 ·Applied Soft Computing ·(unknown), Yaping Fu, Kaizhou Gao, Hui Zhang, Jianhui Mou	25
9	Performance study of cooling plates with single and double outlets for lithium-ion battery thermal management system based on topology optimization 2023 ·International Journal of Green Energy ·(unknown), (unknown), Wei Li, Jianhui Mou, Liang Gao, Quan Zhou, Akhil Garg	4
10	Biologically Inspired Machine Learning-Based Trajectory Analysis in Intelligent Dispatching Energy Storage System 2022 ·IEEE Transactions on Intelligent Transportation Systems ·Jianhui Mou, (unknown), Liang Gao, Quan-Ke Pan, Kaizhou Gao, Amit Kumar Singh	24
11	A Hybrid Battery Equivalent Circuit Model, Deep Learning, and Transfer Learning for Battery State Monitoring 2022 ·IEEE Transactions on Transportation Electrification ·Su Shaosen, Wei Li, Jianhui Mou, Akhil Garg, Liang Gao, Jie Liu	93
12	Echelon Utilization of Retired Power Lithium-Ion Batteries: Challenges and Prospects 2022 ·Batteries ·Ningbo Wang, Akhil Garg, Su Shaosen, Jianhui Mou, Liang Gao, Wei Li	44
13	Elite solutions and Tabu assisted variable neighbourhood descent for rescheduling problems in the steelmaking-refining-continuous casting process 2022 ·Flexible Services and Manufacturing Journal ·Kunkun Peng, (unknown), Chunjiang Zhang, Weiming Shen, Yanan Song, Jianhui Mou, (unknown)	7
14	A Machine Learning Approach for Energy-Efficient Intelligent Transportation Scheduling Problem in a Real-World Dynamic Circumstances 2022 ·IEEE Transactions on Intelligent Transportation Systems ·Jianhui Mou, Kaizhou Gao, (unknown), Junqing Li, Akhil Garg, Rohit Sharma	112
15	A Knowledge-Based Multiobjective Memetic Algorithm for Green Job Shop Scheduling With Variable Machining Speeds 2021 ·IEEE Systems Journal ·Chao Lu, Biao Zhang, Liang Gao, Jin Yi, Jianhui Mou	46
16	KMOEA: A Knowledge-Based Multiobjective Algorithm for Distributed Hybrid Flow Shop in a Prefabricated System 2021 ·IEEE Transactions on Industrial Informatics ·Junqing Li, Xiaolong Chen, Peiyong Duan, Jianhui Mou	88
17	Research on Single-machine Inverse Scheduling Methods with Due-dates Based on Variable Neighborhood Search Hybrid Algorithm 2018 ·Journal of Mechanical Engineering ·Jianhui Mou	3
18	Hybrid optimization algorithms by various structures for a real-world inverse scheduling problem with uncertain due-dates under single-machine shop systems 2018 ·Neural Computing and Applications ·Jianhui Mou, Liang Gao, Qianjian Guo, Rufeng Xu, Xinyu Li	14
19	An effective L-MONG algorithm for solving multi-objective flow-shop inverse scheduling problems 2015 ·Journal of Intelligent Manufacturing ·Jianhui Mou, Xinyu Li, Liang Gao, Wenchao Yi	17
20	Optimisation of the reverse scheduling problem by a modified genetic algorithm 2014 ·International Journal of Production Research ·Jianhui Mou, Liang Gao, Xinyu Li, Chao Lu, Hongjie Hu	5

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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