Feng Ji

990 total citations
74 papers, 514 citations indexed

About

Feng Ji is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Feng Ji has authored 74 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 22 papers in Statistical and Nonlinear Physics and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Feng Ji's work include Complex Network Analysis Techniques (21 papers), Advanced Graph Neural Networks (19 papers) and Topic Modeling (8 papers). Feng Ji is often cited by papers focused on Complex Network Analysis Techniques (21 papers), Advanced Graph Neural Networks (19 papers) and Topic Modeling (8 papers). Feng Ji collaborates with scholars based in China, Singapore and United States. Feng Ji's co-authors include Wee Peng Tay, Cheng Deng, Bangjun Wang, Lingling An, Lav R. Varshney, Jie Zheng, Kejia Xie, Xinbo Gao, Da-Ren He and Dacheng Tao and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Signal Processing and IEEE Access.

In The Last Decade

Feng Ji

69 papers receiving 490 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Feng Ji China	12	142	134	126	52	52	74	514
Tong Xu China	16	169 1.2×	114 0.9×	181 1.4×	41 0.8×	39 0.8×	48	599
Leandro Tortosa Spain	15	122 0.9×	196 1.5×	56 0.4×	52 1.0×	16 0.3×	59	579
Hongming Mo China	15	186 1.3×	212 1.6×	26 0.2×	45 0.9×	19 0.4×	23	724
Angela Ricciardello Italy	10	52 0.4×	64 0.5×	93 0.7×	65 1.3×	18 0.3×	34	433
Alneu de Andrade Lopes Brazil	16	419 3.0×	178 1.3×	199 1.6×	50 1.0×	21 0.4×	72	808
Chongqi Zhang China	11	59 0.4×	79 0.6×	35 0.3×	71 1.4×	32 0.6×	46	381
S. Fazzino Italy	8	219 1.5×	179 1.3×	58 0.5×	87 1.7×	142 2.7×	9	631
Nguyễn Thị Thanh Huyền Vietnam	12	41 0.3×	35 0.3×	44 0.3×	74 1.4×	30 0.6×	49	486
Akira Namatame Japan	9	45 0.3×	80 0.6×	32 0.3×	37 0.7×	22 0.4×	82	303
Karmeshu India	16	57 0.4×	196 1.5×	45 0.4×	206 4.0×	193 3.7×	89	826

Countries citing papers authored by Feng Ji

Since Specialization

Citations

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

Fields of papers citing papers by Feng Ji

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Ji

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

Ji, Feng, et al.. (2025). Graph Distributional Signals for Regularization in Graph Neural Networks. IEEE Transactions on Signal and Information Processing over Networks. 11. 670–682.

Gölz, Martin, et al.. (2025). A Graph Signal Processing Perspective of Network Multiple Hypothesis Testing With False Discovery Rate Control. IEEE Transactions on Signal Processing. 73. 3496–3512. 1 indexed citations

Feng, Hui, et al.. (2024). Online Signed Sampling of Bandlimited Graph Signals. IEEE Transactions on Signal and Information Processing over Networks. 10. 131–146. 2 indexed citations

Ji, Feng, et al.. (2024). Modeling Sparse Graph Sequences and Signals Using Generalized Graphons. IEEE Transactions on Signal Processing. 72. 5048–5064.

Feng, Hui, et al.. (2024). Sampling theory of jointly bandlimited time-vertex graph signals. Signal Processing. 222. 109522–109522. 3 indexed citations

Ji, Feng, et al.. (2024). FR-GNN: Mitigating the Impact of Distribution Shift on Graph Neural Networks via Test-Time Feature Reconstruction. IEEE Internet of Things Journal. 11(13). 23521–23531.

Ji, Feng, et al.. (2023). Towards fidelity of graph data augmentation via equivariance. Knowledge-Based Systems. 280. 111017–111017. 1 indexed citations

Ji, Feng, Wee Peng Tay, & Antonio Ortega. (2023). Graph Signal Processing Over a Probability Space of Shift Operators. IEEE Transactions on Signal Processing. 71. 1159–1174. 11 indexed citations

Ji, Feng, et al.. (2022). Signal Processing on Simplicial Complexes With Vertex Signals. IEEE Access. 10. 41889–41901. 4 indexed citations

10.

Ji, Feng, Pratibha Pratibha, & Wee Peng Tay. (2022). Unlimited dynamic range signal recovery for folded graph signals. Signal Processing. 198. 108574–108574. 6 indexed citations

11.

Sun, Yang, et al.. (2020). Multi-goal multi-agent learning for task-oriented dialogue with bidirectional teacher–student learning. Knowledge-Based Systems. 213. 106667–106667. 12 indexed citations

12.

Ji, Feng & Wee Peng Tay. (2019). A Hilbert Space Theory of Generalized Graph Signal Processing. IEEE Transactions on Signal Processing. 67(24). 6188–6203. 25 indexed citations

13.

Ji, Feng, et al.. (2019). On the Properties of Gromov Matrices and Their Applications in Network Inference. IEEE Transactions on Signal Processing. 67(10). 2624–2638. 8 indexed citations

14.

Ji, Feng, et al.. (2018). Estimating Infection Sources in Networks Using Partial Timestamps. IEEE Transactions on Information Forensics and Security. 13(12). 3035–3049. 37 indexed citations

15.

Qiu, Xipeng, Feng Ji, Jiayi Zhao, & Xuanjing Huang. (2012). Joint Segmentation and Tagging with Coupled Sequences Labeling. International Conference on Computational Linguistics. 951–964. 5 indexed citations

16.

Ji, Feng. (2011). Applications of Fuzzy Lifting Wavelet Packet Transform in MFL Signal Processing. Nondestructive Testing. 3 indexed citations

17.

Ji, Feng, Xipeng Qiu, & Xuanjing Huang. (2010). Detecting Hedge Cues and their Scopes with Average Perceptron. 32–39. 2 indexed citations

18.

Ji, Feng, et al.. (2008). Using MATLAB image processing to monitor the health of fish in aquiculture. 677–680. 7 indexed citations

19.

Ji, Feng, et al.. (2005). Recent development of vortex method in incompressible viscous bluff body flows. Journal of Zhejiang University Science. 6(4). 283–288. 1 indexed citations

20.

Zhang, Hongmei, et al.. (2003). A novel multiresolution fuzzy segmentation method on MR image. Journal of Computer Science and Technology. 18(5). 659–666. 2 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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