Cheng Ji

1.3k total citations
84 papers, 919 citations indexed

About

Cheng Ji is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Cheng Ji has authored 84 papers receiving a total of 919 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Networks and Communications, 16 papers in Artificial Intelligence and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Cheng Ji's work include Advanced Data Storage Technologies (30 papers), Caching and Content Delivery (23 papers) and Parallel Computing and Optimization Techniques (12 papers). Cheng Ji is often cited by papers focused on Advanced Data Storage Technologies (30 papers), Caching and Content Delivery (23 papers) and Parallel Computing and Optimization Techniques (12 papers). Cheng Ji collaborates with scholars based in China, Hong Kong and Taiwan. Cheng Ji's co-authors include Chun Jason Xue, Liang Shi, Zongwei Zhu, Yuan He, Chuan Ting Wang, Yong He, Congming Gao, Qiao Li, Yajun Geng and Hong Wang and has published in prestigious journals such as The Science of The Total Environment, Annals of Oncology and Journal of Environmental Management.

In The Last Decade

Cheng Ji

77 papers receiving 885 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cheng Ji China	18	330	173	130	110	103	84	919
Huiyong Wang China	14	128 0.4×	220 1.3×	23 0.2×	10 0.1×	169 1.6×	84	707
Ignasi Vilajosana Spain	15	277 0.8×	132 0.8×	19 0.1×	19 0.2×	35 0.3×	27	1.1k
Dali Wang United States	15	88 0.3×	75 0.4×	49 0.4×	8 0.1×	36 0.3×	117	899
Ning Lv China	21	144 0.4×	175 1.0×	357 2.7×	7 0.1×	106 1.0×	93	1.6k
Xudong Zheng China	16	43 0.1×	53 0.3×	26 0.2×	19 0.2×	57 0.6×	43	760
L De Mexico	21	435 1.3×	185 1.1×	42 0.3×	39 0.4×	781 7.6×	76	1.7k
Hongyu Huang China	20	587 1.8×	139 0.8×	75 0.6×	2 0.0×	76 0.7×	76	1.3k
Weihong Xu China	12	358 1.1×	399 2.3×	7 0.1×	24 0.2×	59 0.6×	39	956
Yanping Yang China	16	165 0.5×	85 0.5×	43 0.3×	3 0.0×	112 1.1×	80	838

Countries citing papers authored by Cheng Ji

Since Specialization

Citations

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

Fields of papers citing papers by Cheng Ji

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng Ji. A scholar is included among the top collaborators of Cheng Ji 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 Ji. Cheng Ji 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

Liang, Dong, et al.. (2024). Biochar and Manure Co-Application Increases Rice Yield in Low Productive Acid Soil by Increasing Soil pH, Organic Carbon, and Nutrient Retention and Availability. Plants. 13(7). 973–973. 4 indexed citations

Yu, Xiangyang, et al.. (2023). A slow-release fertilizer containing cyhalofop-butyl reduces N2O emissions by slowly releasing nitrogen and down-regulating the relative abundance of nirK. The Science of The Total Environment. 906. 167493–167493. 8 indexed citations

Cao, Jing, et al.. (2023). FedStar: Efficient Federated Learning on Heterogeneous Communication Networks. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 43(6). 1848–1861. 5 indexed citations

Liu, Xu, Jun Luo, Huayan Pu, et al.. (2023). Transformer with a Parallel Decoder for Image Captioning. International Journal of Pattern Recognition and Artificial Intelligence. 38(1).

Xu, Xueyong, et al.. (2023). Ability-aware knowledge distillation for resource-constrained embedded devices. Journal of Systems Architecture. 141. 102912–102912. 4 indexed citations

Zhou, Mingliang, et al.. (2022). Cross-Frame Transformer-Based Spatio-Temporal Video Super-Resolution. IEEE Transactions on Broadcasting. 68(2). 359–369. 25 indexed citations

Zhou, Mingliang, Bin Fang, Xingran Liao, et al.. (2022). Spatiotemporal Feature Hierarchy-Based Blind Prediction of Natural Video Quality via Transfer Learning. IEEE Transactions on Broadcasting. 69(1). 130–143. 14 indexed citations

Ji, Cheng, et al.. (2021). Pattern-Guided file compression with user-Experience enhancement for log-Structured file system on mobile devices. File and Storage Technologies. 127–140. 9 indexed citations

Ji, Cheng, Chenchen Fu, Rachata Ausavarungnirun, et al.. (2020). iTRIM: I/O-Aware TRIM for Improving User Experience on Mobile Devices. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 40(9). 1782–1795. 9 indexed citations

10.

Zhou, Tao, Yajun Geng, Cheng Ji, et al.. (2020). Prediction of soil organic carbon and the C:N ratio on a national scale using machine learning and satellite data: A comparison between Sentinel-2, Sentinel-3 and Landsat-8 images. The Science of The Total Environment. 755(Pt 2). 142661–142661. 138 indexed citations

11.

Li, Qiao, et al.. (2019). Process Variation Aware Read Performance Improvement for LDPC-Based nand Flash Memory. IEEE Transactions on Reliability. 69(1). 310–321. 11 indexed citations

12.

Ji, Cheng, et al.. (2019). Maximizing I/O Throughput and Minimizing Performance Variation via Reinforcement Learning Based I/O Merging for SSDs. IEEE Transactions on Computers. 69(1). 72–86. 18 indexed citations

13.

Ji, Cheng, et al.. (2018). Maximizing I/O throughput and minimizing performance variation via reinforcement learning based I/O merging for SSDs: work-in-progress. 1. 1 indexed citations

14.

Ji, Cheng, Li-Pin Chang, Sungjin Lee, et al.. (2018). File Fragmentation in Mobile Devices: Measurement, Evaluation, and Treatment. IEEE Transactions on Mobile Computing. 18(9). 2062–2076. 13 indexed citations

15.

Ji, Cheng, et al.. (2018). Maximizing I/O throughput and minimizing performance variation via reinforcement learning based I/O merging for SSDs work-in-progress. 1–2. 1 indexed citations

16.

Gao, Congming, Liang Shi, Cheng Ji, et al.. (2017). Exploiting Parallelism for Access Conflict Minimization in Flash-Based Solid State Drives. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 37(1). 168–181. 37 indexed citations

17.

Ji, Cheng, et al.. (2017). An I/O Scheduling Strategy for Embedded Flash Storage Devices With Mapping Cache. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 37(4). 756–769. 10 indexed citations

18.

Li, Qiao, Liang Shi, Chun Jason Xue, et al.. (2016). Access characteristic guided read and write cost regulation for performance improvement on flash memory. File and Storage Technologies. 125–132. 49 indexed citations

19.

Ji, Cheng, et al.. (2016). An empirical study of file-system fragmentation in mobile storage systems. 76–80. 17 indexed citations

20.

He, Yong, et al.. (2014). Case Report Metastatic renal cell carcinoma to the left maxillary sinus. Genetics and Molecular Research. 13(3). 7465–7469. 6 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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