Jun Zeng

1.7k total citations
106 papers, 920 citations indexed

About

Jun Zeng is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jun Zeng has authored 106 papers receiving a total of 920 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Information Systems, 26 papers in Artificial Intelligence and 19 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jun Zeng's work include Recommender Systems and Techniques (37 papers), Human Mobility and Location-Based Analysis (13 papers) and Nuclear Physics and Applications (12 papers). Jun Zeng is often cited by papers focused on Recommender Systems and Techniques (37 papers), Human Mobility and Location-Based Analysis (13 papers) and Nuclear Physics and Applications (12 papers). Jun Zeng collaborates with scholars based in China, Japan and Australia. Jun Zeng's co-authors include Junhao Wen, Min Gao, Wei Zhou, S. V. Yi, Brendan G. Hunt, Shrutii Sarda, Fengji Luo, Sachio Hirokawa, Qingyu Xiong and Xiuhua Li and has published in prestigious journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Jun Zeng

97 papers receiving 891 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Zeng China 15 417 309 140 108 104 106 920
Erik Nijkamp United States 10 263 0.6× 416 1.3× 178 1.3× 150 1.4× 271 2.6× 22 1.1k
Fan Liu China 16 457 1.1× 453 1.5× 144 1.0× 87 0.8× 162 1.6× 57 924
Mohamed Hamada Japan 17 264 0.6× 362 1.2× 41 0.3× 71 0.7× 248 2.4× 100 878
Giovanni Felici Italy 20 52 0.1× 205 0.7× 599 4.3× 38 0.4× 49 0.5× 75 1.3k
Darrel Ince United Kingdom 11 325 0.8× 175 0.6× 62 0.4× 77 0.7× 33 0.3× 33 753
Gang Xiao China 18 67 0.2× 213 0.7× 69 0.5× 57 0.5× 203 2.0× 104 900
Dandan Song China 18 279 0.7× 503 1.6× 216 1.5× 74 0.7× 166 1.6× 82 1.0k
Tsang Ing Ren Brazil 21 132 0.3× 518 1.7× 84 0.6× 44 0.4× 588 5.7× 122 1.5k
Neha Chauhan India 3 108 0.3× 316 1.0× 180 1.3× 260 2.4× 146 1.4× 5 1.3k
Larry Wall Switzerland 6 215 0.5× 318 1.0× 139 1.0× 206 1.9× 28 0.3× 11 786

Countries citing papers authored by Jun Zeng

Since Specialization
Citations

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

Fields of papers citing papers by Jun Zeng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Zeng

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

All Works

20 of 20 papers shown
1.
Chen, Hongli, et al.. (2025). Characterization of 238PuO2 neutron and gamma radiation based on the latest nuclear databases. Radiation Physics and Chemistry. 232. 112659–112659.
2.
Zhou, Wei, et al.. (2025). Intent-Driven Multi-level Augmentation with Contrastive Learning for Sequential Recommendation. Knowledge-Based Systems. 324. 113606–113606.
3.
Li, Haiqin, et al.. (2025). Multi-Scale Transformers with dual attention and adaptive masking for sequential recommendation. Information Processing & Management. 63(1). 104318–104318. 1 indexed citations
4.
Zhou, Wei, et al.. (2025). Multi-view collaborative signal fusion and representation property optimization for recommendation. Engineering Applications of Artificial Intelligence. 144. 110085–110085.
5.
Zhou, Wei, et al.. (2025). Intent-Guided Bilateral Long and Short-Term Information Mining With Contrastive Learning for Sequential Recommendation. IEEE Transactions on Services Computing. 18(1). 212–225. 3 indexed citations
6.
Zhou, Wei, et al.. (2025). Spatio-Temporal Intent Modeling for Sequential Recommendation. IEEE Transactions on Services Computing. 18(6). 4181–4193.
7.
Pan, Yong–Le, Jun Zeng, Ziwei Wang, et al.. (2025). HGDRec:Next POI Recommendation Based on Hypergraph Neural Network and Diffusion Model. IEEE Transactions on Services Computing. 18(3). 1445–1458. 1 indexed citations
8.
Zeng, Jun. (2024). Multi-source symbiosis of textual meaning. Chinese Semiotic Studies. 20(2). 211–229. 1 indexed citations
9.
Zeng, Jun, et al.. (2024). CBRec: A causal way balancing multidimensional attraction effect in POI recommendations. Knowledge-Based Systems. 305. 112607–112607. 1 indexed citations
10.
Zeng, Jun, et al.. (2024). Explainable next POI recommendation based on spatial–temporal disentanglement representation and pseudo profile generation. Knowledge-Based Systems. 309. 112784–112784. 2 indexed citations
11.
Tang, Haoran, et al.. (2024). TCGC: Temporal Collaboration-Aware Graph Co-Evolution Learning for Dynamic Recommendation. ACM Transactions on Information Systems. 43(1). 1–27. 3 indexed citations
12.
Wen, Junhao, et al.. (2024). Learning robust travel preferences via check-in masking for next POI recommendation. Expert Systems with Applications. 267. 126106–126106. 1 indexed citations
13.
Yu, Yang, et al.. (2023). Multi-views contrastive learning for dense text retrieval. Knowledge-Based Systems. 274. 110624–110624. 1 indexed citations
14.
Zeng, Jun, et al.. (2023). Point-of-interest Recommendation using Deep Semantic Model. Expert Systems with Applications. 231. 120727–120727. 12 indexed citations
15.
Zeng, Jun, et al.. (2023). LGSA: A next POI prediction method by using local and global interest with spatiotemporal awareness. Expert Systems with Applications. 227. 120291–120291. 6 indexed citations
16.
Wen, Junhao, et al.. (2022). Multi-interaction fusion collaborative filtering for social recommendation. Expert Systems with Applications. 205. 117610–117610. 10 indexed citations
17.
Wen, Junhao, et al.. (2017). A New QoS-Aware Web Service Recommendation System Based on Contextual Feature Recognition at Server-Side. IEEE Transactions on Network and Service Management. 14(2). 332–342. 33 indexed citations
18.
Chen, Cheng, et al.. (2016). Personalized Location Recommendation Algorithm Research Based on User Check-ins and Geographical Properties. 43(12). 178. 2 indexed citations
19.
Zeng, Jun & Sachio Hirokawa. (2012). Component search engine based on html path and word weight. 6(2). 563–568. 1 indexed citations
20.
Zeng, Jun. (2007). Analysis of Regional Tourism Economic Differences based on the Eight Economic Zones. Huadong jingji guanli. 1 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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