Fengmei Jin

403 total citations
12 papers, 261 citations indexed

About

Fengmei Jin is a scholar working on Artificial Intelligence, Signal Processing and Transportation. According to data from OpenAlex, Fengmei Jin has authored 12 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Signal Processing and 4 papers in Transportation. Recurrent topics in Fengmei Jin's work include Data Management and Algorithms (4 papers), Privacy-Preserving Technologies in Data (3 papers) and Human Mobility and Location-Based Analysis (3 papers). Fengmei Jin is often cited by papers focused on Data Management and Algorithms (4 papers), Privacy-Preserving Technologies in Data (3 papers) and Human Mobility and Location-Based Analysis (3 papers). Fengmei Jin collaborates with scholars based in China, Hong Kong and Australia. Fengmei Jin's co-authors include Jun Li, Yanghui Rao, Haoran Xie, Fu Lee Wang, Qing Li, Xiaofang Zhou, Wen Hua, Huijun Chen, Maria E. Orłowska and Matteo Francia and has published in prestigious journals such as Information & Management, Neurocomputing and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Fengmei Jin

10 papers receiving 258 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fengmei Jin China	7	197	54	44	29	25	12	261
Enrico Palumbo Italy	8	163 0.8×	133 2.5×	15 0.3×	22 0.8×	19 0.8×	18	250
Suhas Ranganath United States	9	129 0.7×	189 3.5×	35 0.8×	37 1.3×	17 0.7×	19	304
Samira Zad United States	10	202 1.0×	86 1.6×	21 0.5×	5 0.2×	24 1.0×	11	299
Hengliang Luo China	11	148 0.8×	215 4.0×	13 0.3×	23 0.8×	15 0.6×	22	300
Humberto T. Marques-Neto Brazil	10	76 0.4×	124 2.3×	30 0.7×	61 2.1×	26 1.0×	50	282
Runlong Yu China	10	131 0.7×	114 2.1×	17 0.4×	12 0.4×	14 0.6×	24	220
Ganggao Zhu Spain	5	311 1.6×	58 1.1×	19 0.4×	6 0.2×	12 0.5×	6	373
Sarah Alhumoud Saudi Arabia	11	213 1.1×	52 1.0×	5 0.1×	10 0.3×	28 1.1×	29	313
Salma Jamoussi Tunisia	11	225 1.1×	61 1.1×	34 0.8×	4 0.1×	14 0.6×	56	330
Nattiya Kanhabua Germany	15	301 1.5×	201 3.7×	62 1.4×	35 1.2×	55 2.2×	44	493

Countries citing papers authored by Fengmei Jin

Since Specialization

Citations

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

Fields of papers citing papers by Fengmei Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengmei Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Fengmei Jin. A scholar is included among the top collaborators of Fengmei 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 Fengmei Jin. Fengmei Jin 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:

12 of 12 papers shown

1.

He, Dan, et al.. (2025). A Survey and Experimental Study on Neural Trajectory-User Linking Models. IEEE Transactions on Knowledge and Data Engineering. 37(12). 6782–6798.

2.

Li, Jiajia, et al.. (2025). Route optimization with collective spatial keywords: A skyline-based approach. The VLDB Journal. 34(5).

3.

Hua, Wen, et al.. (2025). HTEA: Heterogeneity-aware Embedding Learning for Temporal Entity Alignment. 982–990. 1 indexed citations

4.

Jin, Fengmei, et al.. (2025). AVINet: adaptive variational iteration network for low light image enhancement. Journal of King Saud University - Computer and Information Sciences. 37(7). 1 indexed citations

5.

Jin, Fengmei, et al.. (2023). Efficient Frequency-Based Randomization for Spatial Trajectories Under Differential Privacy. IEEE Transactions on Knowledge and Data Engineering. 36(6). 2430–2444. 1 indexed citations

6.

Jin, Fengmei, Wen Hua, Jiajie Xu, et al.. (2022). Trajectory-Based Spatiotemporal Entity Linking. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 10 indexed citations

7.

Jin, Fengmei, Wen Hua, Matteo Francia, et al.. (2022). A Survey and Experimental Study on Privacy-Preserving Trajectory Data Publishing. IEEE Transactions on Knowledge and Data Engineering. 1–1. 36 indexed citations

8.

Jin, Fengmei, et al.. (2022). Frequency-based Randomization for Guaranteeing Differential Privacy in Spatial Trajectories. 2022 IEEE 38th International Conference on Data Engineering (ICDE). 1727–1739. 13 indexed citations

9.

Jin, Fengmei, Wen Hua, Jiajie Xu, & Xiaofang Zhou. (2019). Moving Object Linking Based on Historical Trace. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1058–1069. 15 indexed citations

10.

Zhang, Jing, Bo Chen, Xianming Wang, et al.. (2018). MEgo2Vec. 327–336. 50 indexed citations

11.

Li, Jun, et al.. (2016). Multi-label maximum entropy model for social emotion classification over short text. Neurocomputing. 210. 247–256. 41 indexed citations

12.

Rao, Yanghui, Haoran Xie, Jun Li, et al.. (2016). Social emotion classification of short text via topic-level maximum entropy model. Information & Management. 53(8). 978–986. 93 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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