Ji Liu

2.3k total citations
59 papers, 1.1k citations indexed

About

Ji Liu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Plant Science. According to data from OpenAlex, Ji Liu has authored 59 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 19 papers in Computer Vision and Pattern Recognition and 11 papers in Plant Science. Recurrent topics in Ji Liu's work include Advanced Image and Video Retrieval Techniques (6 papers), Research in Cotton Cultivation (5 papers) and Video Surveillance and Tracking Methods (4 papers). Ji Liu is often cited by papers focused on Advanced Image and Video Retrieval Techniques (6 papers), Research in Cotton Cultivation (5 papers) and Video Surveillance and Tracking Methods (4 papers). Ji Liu collaborates with scholars based in China, United States and Australia. Ji Liu's co-authors include Lei Zhang, Yan Liu, Xichuan Zhou, Youzuo Lin, Paul A. Johnson, Yue Wu, Min Zhang, Zheng Zhou, Lei Zhang and David Zhang and has published in prestigious journals such as Nature Communications, Journal of Agricultural and Food Chemistry and New Phytologist.

In The Last Decade

Ji Liu

48 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ji Liu China	19	368	314	212	162	105	59	1.1k
George Economou Greece	25	349 0.9×	485 1.5×	985 4.6×	85 0.5×	206 2.0×	160	2.2k
Sanjay Garg India	23	99 0.3×	150 0.5×	120 0.6×	167 1.0×	148 1.4×	113	1.7k
Jayanta Kumar Basak India	21	445 1.2×	597 1.9×	384 1.8×	93 0.6×	73 0.7×	119	1.8k
Rui Xu China	25	771 2.1×	111 0.4×	97 0.5×	90 0.6×	42 0.4×	84	1.6k
Chen Gao China	21	140 0.4×	184 0.6×	265 1.3×	157 1.0×	72 0.7×	98	1.7k
Ritaban Dutta Australia	18	147 0.4×	122 0.4×	50 0.2×	73 0.5×	630 6.0×	62	1.4k
Ke Sun China	16	195 0.5×	108 0.3×	258 1.2×	71 0.4×	218 2.1×	34	963
Antonio Mucherino France	17	96 0.3×	383 1.2×	146 0.7×	133 0.8×	48 0.5×	55	1.1k
Kadir Sabancı Türkiye	25	652 1.8×	429 1.4×	300 1.4×	108 0.7×	177 1.7×	110	2.1k

Countries citing papers authored by Ji Liu

Since Specialization

Citations

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

Fields of papers citing papers by Ji Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ji Liu

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

All Works

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20 of 20 papers shown

Liu, Ji, Bruce A. Hungate, Pete Smith, et al.. (2025). Digging deeper into microbial carbon use efficiency in soil: Perspectives from microbial growth and respiration. 4(1). 100183–100183.

Jia, Juncheng, et al.. (2025). Efficient federated learning with timely update dissemination. Knowledge and Information Systems. 67(11). 10691–10725. 1 indexed citations

Liu, Yongming, Pengfei Miao, Yuanyuan Liu, et al.. (2025). The DNA N6‐adenine methylation target gene GhMAF1 promotes fiber initiation at the base of Gossypium ovules. New Phytologist. 246(3). 1015–1031. 1 indexed citations

Liu, Ji, et al.. (2025). Study on rock energy storage limit evolution model and strength criterion. 44(1). 140–151. 1 indexed citations

Jia, Juncheng, et al.. (2024). Efficient asynchronous federated learning with sparsification and quantization. Concurrency and Computation Practice and Experience. 36(9). 9 indexed citations

Yang, Yang, Wenming Zhang, Shengbin Chen, et al.. (2024). Structure–Energy Relationship Prediction of the HZSM-5 Zeolite with Different Acid Site Distributions by the Neural Network Model. ACS Omega. 9(3). 3392–3400. 1 indexed citations

Liu, Yang, Zhenzhen Wei, Lu Yang, et al.. (2024). Membrane Interactions of GET1 and GET2 Facilitate Fiber Cell Initiation through the Guided Entry of the TA Protein Pathway in Cotton. Journal of Agricultural and Food Chemistry. 72(44). 24283–24299.

Hu, Wei, Lan Yang, Renju Liu, et al.. (2023). EPSPS regulates cell elongation by disrupting the balance of lignin and flavonoid biosynthesis in cotton. Journal of Integrative Agriculture. 23(10). 3437–3456.

Liu, Ji, Zhihua Wu, Xuefeng Yao, et al.. (2023). HeterPS: Distributed deep learning with reinforcement learning based scheduling in heterogeneous environments. Future Generation Computer Systems. 148. 106–117. 29 indexed citations

10.

Zhang, Lei, Ji Liu, Bob Zhang, David Zhang, & Ce Zhu. (2019). Deep Cascade Model-Based Face Recognition: When Deep-Layered Learning Meets Small Data. IEEE Transactions on Image Processing. 29. 1016–1029. 52 indexed citations

11.

Du, Yali, Lei Han, Meng Fang, et al.. (2019). LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning. Neural Information Processing Systems. 32. 4403–4414. 45 indexed citations

12.

Yang, Zhaoen, Xiaoyang Ge, Zuoren Yang, et al.. (2019). Extensive intraspecific gene order and gene structural variations in upland cotton cultivars. Nature Communications. 10(1). 2989–2989. 178 indexed citations

13.

Yang, Haichuan, Yu Zhao, Wu Chen, et al.. (2018). A Robust AUC Maximization Framework With Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification. IEEE Transactions on Neural Networks and Learning Systems. 30(10). 3072–3083. 27 indexed citations

14.

Liu, Ji, et al.. (2017). Privacy-Preserving Multi-Period Demand Response: A Game Theoretic Approach. arXiv (Cornell University). 3 indexed citations

15.

Liu, Ji. (2014). Latent Topic Fusion-Based Cross-Media Image Semantic Annotation. Dianzi xuebao. 1 indexed citations

16.

Liu, Ji. (2012). BeiDou GEO Satellite Orbit Algorithm.

17.

Liu, Ji. (2012). Principle and implementation of urine analyzer with near-infrared spectroscopy. 1 indexed citations

18.

Liu, Ji, et al.. (2012). Specific indexes of college physical education curriculum content standards screened based on the Delphi method.. journal of physical education. 19(2). 89–93.

19.

Liu, Ji. (2011). Determination of Nine Sensitizing Disperse Dyes in Dyeing Wastewater by Solid Phase Extraction-Liquid Chromatography-Mass Spectrometry. CHINESE JOURNAL OF ANALYTICAL CHEMISTRY (CHINESE VERSION). 3 indexed citations

20.

Liu, Ji. (2008). Visualization of virtual plant based on 3D model converter. Journal of Computer Applications.

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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