Ming Cheng

737 total citations
27 papers, 571 citations indexed

About

Ming Cheng is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Materials Chemistry. According to data from OpenAlex, Ming Cheng has authored 27 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 7 papers in Computer Vision and Pattern Recognition and 5 papers in Materials Chemistry. Recurrent topics in Ming Cheng's work include Advanced Memory and Neural Computing (12 papers), Ferroelectric and Negative Capacitance Devices (10 papers) and Luminescence Properties of Advanced Materials (5 papers). Ming Cheng is often cited by papers focused on Advanced Memory and Neural Computing (12 papers), Ferroelectric and Negative Capacitance Devices (10 papers) and Luminescence Properties of Advanced Materials (5 papers). Ming Cheng collaborates with scholars based in China, United States and Russia. Ming Cheng's co-authors include Huazhong Yang, Lixue Xia, Yuan Xie, Zhenhua Zhu, Tianqi Tang, Yi Cai, Yu Wang, Yu Wang, Boxun Li and Wenqin Huangfu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

In The Last Decade

Ming Cheng

24 papers receiving 567 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ming Cheng China	13	467	124	117	89	38	27	571
Siyan Lin China	7	348 0.7×	57 0.5×	31 0.3×	120 1.3×	73 1.9×	19	432
Hui-Yao Kao Taiwan	7	515 1.1×	88 0.7×	52 0.4×	83 0.9×	26 0.7×	7	552
Sheng-Po Huang Taiwan	7	579 1.2×	100 0.8×	69 0.6×	87 1.0×	32 0.8×	10	631
Jun Deguchi Japan	12	477 1.0×	97 0.8×	50 0.4×	80 0.9×	96 2.5×	41	545
Chorng-Jung Lin Taiwan	8	766 1.6×	99 0.8×	51 0.4×	145 1.6×	45 1.2×	9	804
Martino Dazzi Switzerland	8	414 0.9×	112 0.9×	29 0.2×	64 0.7×	65 1.7×	12	446
Chin-I Su Taiwan	8	437 0.9×	73 0.6×	47 0.4×	83 0.9×	25 0.7×	10	476
Qilin Zheng China	9	316 0.7×	96 0.8×	48 0.4×	39 0.4×	24 0.6×	41	437
Vinay Joshi Switzerland	7	406 0.9×	140 1.1×	37 0.3×	73 0.8×	75 2.0×	10	456
Sungmeen Myung South Korea	6	463 1.0×	106 0.9×	25 0.2×	49 0.6×	54 1.4×	9	526

Countries citing papers authored by Ming Cheng

Since Specialization

Citations

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

Fields of papers citing papers by Ming Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Cheng

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Zhang, Zeyu, et al.. (2024). Character region extraction of wheel water meter based on object detection. Flow Measurement and Instrumentation. 100. 102733–102733.

2.

Cheng, Ming, Zongqi Chen, Yayun Zhou, et al.. (2024). A broadband near-infrared phosphor: Solid-state synthesis, two Cr3+ sites occupation and enhanced thermal stability. Journal of Luminescence. 277. 120971–120971. 2 indexed citations

3.

Моlokeev, Мaxim S., et al.. (2024). Solid solution structural engineering enhances the luminescence of SrMgAl10O17:Cr3+ for agricultural lighting. Journal of Luminescence. 270. 120553–120553. 7 indexed citations

4.

Ruan, Lang, Yi Hu, Xiaohong Chen, et al.. (2024). A narrow-band blue emitting phosphor by co-doping Bi3+ and alkali metal ions (Li+, Na+ and K+) with dual luminescence center. Journal of Rare Earths. 43(3). 543–551. 13 indexed citations

5.

Cheng, Ming, et al.. (2024). Pan-African and Early Paleozoic Orogenic Events in Southern Tibet: Evidence from Geochronology and Geochemistry of the Kangbuzhenri Gneissic Granite in the Zhegu Area. Minerals. 14(8). 845–845.

6.

Zhu, Hui, Siqi He, Zhe Yang, et al.. (2024). High thermal stability near-infrared aluminoborate phosphor with spectral tunability and its rice lighting application. Materials Today Chemistry. 36. 101944–101944. 5 indexed citations

7.

Li, Siying, Мaxim S. Моlokeev, Ming Cheng, et al.. (2023). Spectroscopically enhanced far-red phosphor Li₂Mg₃TiO₆:Cr³⁺ and its application prospects to the cold resistance of rice. Materials Advances. 4(22). 5808–5816. 4 indexed citations

8.

Cheng, Ming, et al.. (2023). Impact of economic policy uncertainty on audit fees: Evidence from Chinese listed companies. Problems and Perspectives in Management. 21(3). 682–697.

9.

Cheng, Ming, et al.. (2021). Deep Convolutional Neural Networks based on Manifold for Smoke Recognition. 1–7. 2 indexed citations

10.

Cheng, Ming, Lixue Xia, Zhenhua Zhu, et al.. (2018). TIME: A Training-in-Memory Architecture for RRAM-Based Deep Neural Networks. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 38(5). 834–847. 55 indexed citations

11.

Cai, Yi, Tianqi Tang, Lixue Xia, et al.. (2018). Training low bitwidth convolutional neural network on RRAM. Asia and South Pacific Design Automation Conference. 117–122. 10 indexed citations

12.

Xia, Lixue, Zhenhua Zhu, Hanbo Sun, et al.. (2018). Rescuing memristor-based computing with non-linear resistance levels. 407–412. 13 indexed citations

13.

Su, Fang, Wei-Hao Chen, Lixue Xia, et al.. (2017). A 462GOPs/J RRAM-based nonvolatile intelligent processor for energy harvesting IoE system featuring nonvolatile logics and processing-in-memory. 54 indexed citations

14.

Su, Fang, Wei-Hao Chen, Lixue Xia, et al.. (2017). A 462GOPs/J RRAM-based nonvolatile intelligent processor for energy harvesting IoE system featuring nonvolatile logics and processing-in-memory. Rare & Special e-Zone (The Hong Kong University of Science and Technology). C260–C261. 40 indexed citations

15.

Cheng, Ming, Lixue Xia, Zhenhua Zhu, et al.. (2017). TIME. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–6. 92 indexed citations

16.

Guo, Xiang, et al.. (2016). AUTOMATIC SHAPE-BASED TARGET EXTRACTION FOR CLOSE-RANGE PHOTOGRAMMETRY. SHILAP Revista de lepidopterología. XLI-B1. 583–587. 2 indexed citations

17.

Xia, Lixue, Tianqi Tang, Wenqin Huangfu, et al.. (2016). Switched by input. 1–6. 85 indexed citations

18.

Cheng, Ming. (2009). Analysis on Sedimentary Systems and Hydrocarbon Accumulation of Palaeogene,Chengbei Sag. Chenji xuebao. 1 indexed citations

19.

Cheng, Ming. (2007). Characteristics and evaluation of Cretaceous-Paleogene reservoirs in the northern Tarim basin. Zhongguo dizhi. 1 indexed citations

20.

Cheng, Ming. (2006). ANALYSIS OF CHARACTERISTICS OF SEDIMENTARY RESERVOIR BETWEEN CRETACEOUS AND PALAEOGENE IN THE WESTERN PART OF THE KUQA DEPRESSION. Tianranqi diqiu kexue. 8 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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