Dong Ni

1.3k total citations
67 papers, 933 citations indexed

About

Dong Ni is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Dong Ni has authored 67 papers receiving a total of 933 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Electrical and Electronic Engineering, 16 papers in Control and Systems Engineering and 15 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Dong Ni's work include Solar Thermal and Photovoltaic Systems (15 papers), Industrial Vision Systems and Defect Detection (13 papers) and Advancements in Photolithography Techniques (12 papers). Dong Ni is often cited by papers focused on Solar Thermal and Photovoltaic Systems (15 papers), Industrial Vision Systems and Defect Detection (13 papers) and Advancements in Photolithography Techniques (12 papers). Dong Ni collaborates with scholars based in China, United States and Singapore. Dong Ni's co-authors include Panagiotis D. Christofides, Gang Xiao, Hangjie Yuan, Tianfeng Yang, Mingjiang Ni, Joseph Sang‐Il Kwon, Michael Nayhouse, Kefa Cen, Zhongyang Luo and Mingchun Li and has published in prestigious journals such as Journal of Cleaner Production, Applied Energy and Expert Systems with Applications.

In The Last Decade

Dong Ni

63 papers receiving 912 citations

Peers

Dong Ni
Byungwhan Kim South Korea
Zheng Wang China
Junwei Xie China
Carlo Poloni Italy
Wen Shen China
Zhixue Wang China
Mohd Mawardi Saari Malaysia
Johannes Jäschke Norway
Byungwhan Kim South Korea
Dong Ni
Citations per year, relative to Dong Ni Dong Ni (= 1×) peers Byungwhan Kim

Countries citing papers authored by Dong Ni

Since Specialization
Citations

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

Fields of papers citing papers by Dong Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dong Ni

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

All Works

20 of 20 papers shown
1.
Guo, J. D., et al.. (2025). Sequence modeling for predicting three-dimensional plasma etching profiles with deep learning. Journal of Vacuum Science & Technology A Vacuum Surfaces and Films. 43(4).
2.
Guo, J. D., et al.. (2025). Attention-enhanced conditional variational autoencoder integrating 3D plasma etching simulation for etching process optimization. Journal of Vacuum Science & Technology A Vacuum Surfaces and Films. 43(2).
3.
Liu, Pengwei, et al.. (2024). A deep-learning-based surrogate modeling method with application to plasma processing. Process Safety and Environmental Protection. 211. 299–317. 1 indexed citations
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Yuan, Hangjie, Shiwei Zhang, Xiang Wang, et al.. (2024). InstructVideo: Instructing Video Diffusion Models with Human Feedback. 6463–6474. 4 indexed citations
6.
Ni, Dong, et al.. (2024). A self-supervised learning framework based on masked autoencoder for complex wafer bin map classification. Expert Systems with Applications. 249. 123601–123601. 2 indexed citations
7.
Ni, Dong, et al.. (2024). A Fault-Tolerant Soft Sensor Algorithm Based on Long Short-Term Memory Network for Uneven Batch Process. Processes. 12(3). 495–495. 5 indexed citations
8.
Xiao, Gang, et al.. (2023). Kinetics and Structural Optimization of Cobalt-Oxide Honeycomb Structures Based on Thermochemical Heat Storage. Energies. 16(7). 3237–3237. 3 indexed citations
9.
Wáng, Yì, Dong Ni, & Zhenyu Huang. (2023). A Momentum Contrastive Learning Framework for Low-Data Wafer Defect Classification in Semiconductor Manufacturing. Applied Sciences. 13(10). 5894–5894. 4 indexed citations
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Ni, Dong, et al.. (2023). Real-time heliostat field aiming strategy generation for varying cloud shadowing using deep learning. AIP conference proceedings. 2932. 90009–90009. 3 indexed citations
12.
Yuan, Hangjie, Shiwei Zhang, Samuel Albanie, et al.. (2023). RLIPv2: Fast Scaling of Relational Language-Image Pre-training. 21592–21604. 13 indexed citations
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Ni, Dong, et al.. (2019). Recognition and Location of Mixed-type Patterns in Wafer Bin Maps. 4–8. 22 indexed citations
15.
Zhang, Yanyan, Ran Cheng, Dong Ni, et al.. (2019). Thermal conductivity characterization of ultra-thin silicon film using the ultra-fast transient hot strip method*. Chinese Physics B. 28(7). 78105–78105. 3 indexed citations
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Kwon, Joseph Sang‐Il, Michael Nayhouse, Gerassimos Orkoulas, Dong Ni, & Panagiotis D. Christofides. (2015). A method for handling batch-to-batch parametric drift using moving horizon estimation: Application to run-to-run MPC of batch crystallization. Chemical Engineering Science. 127. 210–219. 36 indexed citations
19.
Wu, Chongqing, et al.. (2006). Measurement of linewidth enhancement factor of SOA using fiber Sagnac Ring. Optoelectronics Letters. 2(2). 142–144. 2 indexed citations
20.
Ni, Dong & Panagiotis D. Christofides. (2005). Construction of stochastic pdes for feedback control of surface roughness in thin film deposition. 29. 2540–2547. 13 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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2026