Cheng Jin

732 total citations
37 papers, 548 citations indexed

About

Cheng Jin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Cheng Jin has authored 37 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Cheng Jin's work include Industrial Vision Systems and Defect Detection (6 papers), Energy Load and Power Forecasting (5 papers) and Integrated Circuits and Semiconductor Failure Analysis (4 papers). Cheng Jin is often cited by papers focused on Industrial Vision Systems and Defect Detection (6 papers), Energy Load and Power Forecasting (5 papers) and Integrated Circuits and Semiconductor Failure Analysis (4 papers). Cheng Jin collaborates with scholars based in China, South Korea and Japan. Cheng Jin's co-authors include Minghao Piao, Keun Ho Ryu, Jong Yun Lee, Gouchol Pok, Yongjun Piao, Meijing Li, Yongmi Lee, Unil Yun, Ho Sun Shon and Yuzhong Qu and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Energy Conversion and Management and IEEE Transactions on Industrial Informatics.

In The Last Decade

Cheng Jin

33 papers receiving 533 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Cheng Jin China 10 288 267 76 68 62 37 548
Jingfa Liu China 19 41 0.1× 321 1.2× 44 0.6× 200 2.9× 13 0.2× 83 1.3k
Shiyu Li China 11 63 0.2× 43 0.2× 144 1.9× 150 2.2× 19 0.3× 49 406
Raman Maini India 10 49 0.2× 138 0.5× 264 3.5× 146 2.1× 129 2.1× 53 634
Zujun Liu China 12 323 1.1× 28 0.1× 58 0.8× 219 3.2× 14 0.2× 64 752
Xiongwen Quan China 10 28 0.1× 297 1.1× 50 0.7× 61 0.9× 15 0.2× 38 782
Zijie Zheng China 17 372 1.3× 16 0.1× 110 1.4× 114 1.7× 15 0.2× 51 1.1k
Helong Yu China 16 50 0.2× 46 0.2× 106 1.4× 370 5.4× 32 0.5× 39 755
Hui Han China 8 33 0.1× 60 0.2× 89 1.2× 239 3.5× 22 0.4× 16 465
Chuin-Mu Wang Taiwan 11 55 0.2× 50 0.2× 174 2.3× 162 2.4× 74 1.2× 41 510

Countries citing papers authored by Cheng Jin

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng Jin. A scholar is included among the top collaborators of Cheng Jin 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 Cheng Jin. Cheng Jin 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.
Wu, Ao, et al.. (2025). Spatiotemporal Distribution, and Risk Assessment of Cu and Ni Pollution in a Farmland Soil-Corn System of Arid Oasis City in Northwest China. Soil and Sediment Contamination An International Journal. 34(7). 2110–2131. 1 indexed citations
2.
Jiang, Xue, et al.. (2025). Keypoint-Based SAR Structure From Motion via Riemannian Optimization. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–18.
3.
Jin, Cheng & Sheng Guo. (2024). ADSOC: A novel automatic and deterministic shaft orbit classification framework for large rotating machinery. Mechanical Systems and Signal Processing. 215. 111399–111399. 2 indexed citations
4.
Guo, Sheng, et al.. (2024). Heterogeneous Federated Learning Framework for IIoT Based on Selective Knowledge Distillation. IEEE Transactions on Industrial Informatics. 21(2). 1078–1089. 5 indexed citations
5.
Piao, Minghao, et al.. (2023). Image Hash Layer Triggered CNN Framework for Wafer Map Failure Pattern Retrieval and Classification. ACM Transactions on Knowledge Discovery from Data. 18(4). 1–26.
6.
Wang, Ziming, et al.. (2023). STRP-DBSCAN: A Parallel DBSCAN Algorithm Based on Spatial-Temporal Random Partitioning for Clustering Trajectory Data. Applied Sciences. 13(20). 11122–11122. 1 indexed citations
7.
Si, Jianhua, Jianming Li, Xiuzhi Zhang, et al.. (2023). Effects of Climate Change on Surface Runoff and Soil Moisture in the Source Region of the Yellow River. Water. 15(11). 2104–2104. 7 indexed citations
8.
Li, Jianming, Jianhua Si, Miao Yan, et al.. (2023). Evaluation and Prediction of Water Quality of Typical Wetlands in the Source Region of the Yangtze River. Water. 15(8). 1612–1612. 4 indexed citations
9.
Piao, Minghao & Cheng Jin. (2023). Analysis of Image Hashing in Wafer Map Failure Pattern Recognition. IEEE Transactions on Semiconductor Manufacturing. 36(3). 378–388. 2 indexed citations
10.
Si, Jianhua, Jianming Li, Jiajun Li, et al.. (2022). Evaluation and Prediction of Groundwater Quality in the Source Region of the Yellow River. Water. 14(23). 3946–3946. 6 indexed citations
11.
Jin, Cheng, et al.. (2022). Extraction of Buddha Elements from Thangka Images Based on Improved DeepLabV3+. 2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC ). 1829–1833.
12.
Jin, Cheng, Laijun Chen, Hengrui Ma, Xiaodai Xue, & Shengwei Mei. (2021). Intelligent Fault Diagnosis Approach for PV Arrays Based on Sparrow Search Algorithm Optimized Kernel Extreme Learning Machine. 2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2). 3285–3291. 2 indexed citations
13.
Jin, Cheng, et al.. (2020). Wafer map defect pattern classification based on convolutional neural network features and error-correcting output codes. Journal of Intelligent Manufacturing. 31(8). 1861–1875. 49 indexed citations
15.
Cheng, Gong, Cheng Jin, & Yuzhong Qu. (2016). HIEDS: a generic and efficient approach to hierarchical dataset summarization. International Joint Conference on Artificial Intelligence. 3705–3711. 6 indexed citations
16.
Jin, Cheng. (2013). Noise Prediction of Wind Turbines Based on Regression Analysis and BP Neural Network. Noise and Vibration Control. 1 indexed citations
17.
Jin, Cheng, et al.. (2010). ON LABEL INFORMATION INCORPORATED METRIC LEARNING FOR REGRESSIONS. International Journal of Computational Intelligence and Applications. 9(4). 339–351. 2 indexed citations
18.
Jin, Cheng, et al.. (2009). Design of Context Analysis System on USN Environment. 1061–1066. 1 indexed citations
19.
Yang, Hee‐Young, Dong Kee Jeong, Seok‐Ho Kim, et al.. (2007). Gene expression profiling related to the enhanced erythropoiesis in mouse bone marrow cells. Journal of Cellular Biochemistry. 104(1). 295–303. 8 indexed citations
20.
Jin, Cheng, Koichi Kusuhara, Yoshikazu Yonemitsu, et al.. (2003). Recombinant Sendai virus provides a highly efficient gene transfer into human cord blood-derived hematopoietic stem cells. Gene Therapy. 10(3). 272–277. 30 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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