Fei Teng

1.4k total citations
51 papers, 860 citations indexed

About

Fei Teng is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Fei Teng has authored 51 papers receiving a total of 860 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 17 papers in Computer Networks and Communications and 9 papers in Information Systems. Recurrent topics in Fei Teng's work include Topic Modeling (8 papers), IoT and Edge/Fog Computing (7 papers) and Cloud Computing and Resource Management (7 papers). Fei Teng is often cited by papers focused on Topic Modeling (8 papers), IoT and Edge/Fog Computing (7 papers) and Cloud Computing and Resource Management (7 papers). Fei Teng collaborates with scholars based in China, New Zealand and France. Fei Teng's co-authors include Tianrui Li, Shengdong Du, Peng Xie, Xin Yang, Jia Liu, Qiang Xu, Wei Peng, Weihong Li, Wenjun Tang and Jinhong Guo and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Information Sciences.

In The Last Decade

Fei Teng

45 papers receiving 826 citations

Peers

Fei Teng
S. Vimal India
Fei Teng
Citations per year, relative to Fei Teng Fei Teng (= 1×) peers S. Vimal

Countries citing papers authored by Fei Teng

Since Specialization
Citations

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

Fields of papers citing papers by Fei Teng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Teng

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Teng. A scholar is included among the top collaborators of Fei Teng 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 Fei Teng. Fei Teng 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.
Zhang, Fan, et al.. (2025). Unlocking the power of knowledge for few-shot fault diagnosis: A review from a knowledge perspective. Information Sciences. 706. 121996–121996. 1 indexed citations
3.
Yang, Tao, et al.. (2024). Multi-scale feature enhanced spatio-temporal learning for traffic flow forecasting. Knowledge-Based Systems. 294. 111787–111787. 13 indexed citations
4.
刘, 斌, et al.. (2024). Self-supervised contrastive learning for implicit collaborative filtering. Engineering Applications of Artificial Intelligence. 139. 109563–109563. 1 indexed citations
5.
Zhang, Fan, et al.. (2024). MT-ConvFormer: A Multitask Bearing Fault Diagnosis Method Using a Combination of CNN and Transformer. IEEE Transactions on Instrumentation and Measurement. 74. 1–16. 10 indexed citations
6.
Yang, Li Yi, et al.. (2024). Continual Learning for Smart City: A Survey. IEEE Transactions on Knowledge and Data Engineering. 36(12). 7805–7824. 5 indexed citations
7.
Yang, Bin, et al.. (2024). A Review of Intelligent Configuration and Its Security for Complex Networks. Chinese Journal of Electronics. 33(4). 920–947. 3 indexed citations
8.
Bi, Peng, et al.. (2023). Segment based power-efficient scheduling for real-time DAG tasks on edge devices. Parallel Computing. 116. 103022–103022. 2 indexed citations
9.
Zhang, Haibo, et al.. (2023). Collaborative Learning With Heterogeneous Local Models: A Rule-Based Knowledge Fusion Approach. IEEE Transactions on Knowledge and Data Engineering. 36(11). 5768–5783. 4 indexed citations
10.
Hu, Jie, et al.. (2023). An effective relation-first detection model for relational triple extraction. Expert Systems with Applications. 238. 122007–122007. 6 indexed citations
11.
Teng, Fei, et al.. (2023). Few-shot ICD coding with knowledge transfer and evidence representation. Expert Systems with Applications. 238. 121861–121861. 3 indexed citations
12.
Huang, Wei, Tianrui Li, Jia Liu, et al.. (2021). An overview of air quality analysis by big data techniques: Monitoring, forecasting, and traceability. Information Fusion. 75. 28–40. 51 indexed citations
13.
Teng, Fei, et al.. (2021). An explainable CNN approach for medical codes prediction from clinical text. BMC Medical Informatics and Decision Making. 21(S9). 256–256. 24 indexed citations
14.
Teng, Fei, et al.. (2020). A two steps method of resources utilization predication for large Hadoop data center. Concurrency and Computation Practice and Experience. 32(15). 2 indexed citations
16.
Teng, Fei, et al.. (2016). Energy efficiency of VM consolidation in IaaS clouds. The Journal of Supercomputing. 73(2). 782–809. 39 indexed citations
17.
Teng, Fei, Hao-Tsung Yang, Tianrui Li, Frédéric Magoulès, & Xiaoliang Fan. (2015). MUS: a novel deadline-constrained scheduling algorithm for Hadoop. HAL (Le Centre pour la Communication Scientifique Directe). 3 indexed citations
18.
Yang, Yan, et al.. (2013). An Improved Cop-Kmeans Clustering for Solving Constraint Violation Based on MapReduce Framework. Fundamenta Informaticae. 126(4). 301–318. 17 indexed citations
19.
Xia, Jianhong, Lixin Gao, & Fei Teng. (2005). Flooding attacks by exploiting persistent forwarding loops. 36–36. 15 indexed citations
20.
Liu, Hong, Shouhong Wang, & Fei Teng. (2000). REAL-TIME MULTI-AUCTIONS AND THE AGENT SUPPORT. Journal of electronic commerce research. 1. 143–151. 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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