Ning Jia

477 total citations
14 papers, 378 citations indexed

About

Ning Jia is a scholar working on Control and Systems Engineering, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Ning Jia has authored 14 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Control and Systems Engineering, 4 papers in Artificial Intelligence and 4 papers in Mechanical Engineering. Recurrent topics in Ning Jia's work include Machine Fault Diagnosis Techniques (7 papers), Fault Detection and Control Systems (4 papers) and Electrocatalysts for Energy Conversion (3 papers). Ning Jia is often cited by papers focused on Machine Fault Diagnosis Techniques (7 papers), Fault Detection and Control Systems (4 papers) and Electrocatalysts for Energy Conversion (3 papers). Ning Jia collaborates with scholars based in China and Singapore. Ning Jia's co-authors include Wenjing Huang, Qingyu Yan, Daobin Liu, Chuntai Liu, Jiandong Yao, Wei Fang, Min Kuang, Chade Lv, Jianwei Xu and Hao Ren and has published in prestigious journals such as Small, Reliability Engineering & System Safety and Knowledge-Based Systems.

In The Last Decade

Ning Jia

12 papers receiving 375 citations

Peers

Countries citing papers authored by Ning Jia

Since Specialization

Citations

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

Fields of papers citing papers by Ning Jia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ning Jia

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

All Works

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14 of 14 papers shown

#	Work	Indexed citations
1	Auxiliary-feature-embedded causality-inspired dynamic penalty networks for open-set domain generalization diagnosis scenario 2025 ·Advanced Engineering Informatics ·Ning Jia, Weiguo Huang, Chuancang Ding, Yifan Huangfu, Juanjuan Shi, Zhongkui Zhu	5
2	PC3Net: A prior-causal contrast-collaboration network for single domain generalization fault diagnosis 2025 ·Reliability Engineering & System Safety ·Ning Jia, Weiguo Huang, Chuancang Ding, Jun Wang, Zhongkui Zhu	0
3	A physics-guided memory enhancement and causality-inspired generalization framework for continual fault diagnosis 2025 ·Knowledge-Based Systems ·Ning Jia, Weiguo Huang, (unknown), Chuancang Ding, Yifan Huangfu, (unknown), Zhongkui Zhu	1
4	A novel adaptive gating neurons model with physical features weighted for bearing fault diagnosis under strong noise 2025 ·Engineering Applications of Artificial Intelligence ·(unknown), Weiguo Huang, Ning Jia, Chuancang Ding, Yifan Huangfu, Xingxing Jiang, (unknown)	5
5	Physics-Informed Uncertainty-Aware Dynamic Balancing Learning Framework for Unsupervised Universal Domain Generalization Diagnosis Scenario 2025 ·IEEE Transactions on Instrumentation and Measurement ·Ning Jia, Weiguo Huang, Chuancang Ding, Jun Wang	0
6	Physics-informed unsupervised domain adaptation framework for cross-machine bearing fault diagnosis 2024 ·Advanced Engineering Informatics ·Ning Jia, Weiguo Huang, Chuancang Ding, Jun Wang, Zhongkui Zhu	31
7	A cross-domain intelligent fault diagnosis method based on multi-source domain feature adaptation and selection 2023 ·Measurement Science and Technology ·Ning Jia, Weiguo Huang, (unknown), Chuancang Ding, Jun Wang, Changqing Shen	6
8	Intelligent Fault Diagnosis of Rotating Machines Based on Wavelet Time-Frequency Diagram and Optimized Stacked Denoising Auto-Encoder 2022 ·IEEE Sensors Journal ·Ning Jia, (unknown), Yunyang Liu, (unknown)	52
9	Efficient and Selective CO₂ Reduction to Formate on Pd‐Doped Pb₃(CO₃)₂(OH)₂: Dynamic Catalyst Reconstruction and Accelerated CO₂ Protonation 2022 ·Small ·Wenjing Huang, Yijin Wang, Jiawei Liu, Yu Wang, Daobin Liu, Jingfeng Dong, Ning Jia, Lan Yang, Chuntai Liu, Zheng Liu, Bin Liu, Qingyu Yan	33
10	Intelligent Fault Severity Detection of Rotating Machines Based on VMD-WVD and Parameter-Optimized DBN 2022 ·Shock and Vibration ·Ning Jia, (unknown), (unknown), Feiyu Yang	6
11	Dynamic Impact Load Effect on Suspension Crossing Frame at Transmission Tower 2020 ·IOP Conference Series Materials Science and Engineering ·Ning Jia, (unknown), Yong Ma, Rongwang Zhang	1
12	Promoting Electrocatalytic Hydrogen Evolution Reaction and Oxygen Evolution Reaction by Fields: Effects of Electric Field, Magnetic Field, Strain, and Light 2020 ·Small Methods ·Jiandong Yao, Wenjing Huang, Wei Fang, Min Kuang, Ning Jia, Hao Ren, Daobin Liu, Chade Lv, Chuntai Liu, Jianwei Xu, Qingyu Yan	207
13	A Low‐Cost and Facile Method for the Preparation of Fe‐N/C‐Based Hybrids with Superior Catalytic Performance toward Oxygen Reduction Reaction 2019 ·Advanced Materials Interfaces ·Yan-Pei Zhang, Nan Wang, Ning Jia, Jing Wang, Jie Sun, Feng Shi, Zong‐Huai Liu, Ruibin Jiang	30
14	A Design of Configurable Multi-type Flight Data Acquisition System 2018 ·Ning Jia, (unknown), Junfang Tian	1

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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