Liangjun Feng

659 total citations · 1 hit paper
9 papers, 491 citations indexed

About

Liangjun Feng is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Liangjun Feng has authored 9 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Control and Systems Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Liangjun Feng's work include Fault Detection and Control Systems (5 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Machine Learning and ELM (3 papers). Liangjun Feng is often cited by papers focused on Fault Detection and Control Systems (5 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Machine Learning and ELM (3 papers). Liangjun Feng collaborates with scholars based in China, Canada and Macao. Liangjun Feng's co-authors include Chunhui Zhao, Youxian Sun, Biao Huang, Yuanlong Li, C. L. Philip Chen and Yuanlong Li and has published in prestigious journals such as IEEE Transactions on Industrial Informatics, IEEE Transactions on Neural Networks and Learning Systems and Neurocomputing.

In The Last Decade

Liangjun Feng

9 papers receiving 482 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Fault Description Based Attribute Transfer for Zero-Sample Industrial Fault Diagnosis

2020 252 citations Liangjun Feng, Chunhui Zhao IEEE Transactions on Industrial Informatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Liangjun Feng China	7	354	207	162	52	47	9	491
Zhuofu Pan China	5	327 0.9×	136 0.7×	199 1.2×	35 0.7×	25 0.5×	12	464
Xuejin Gao China	13	365 1.0×	92 0.4×	199 1.2×	55 1.1×	30 0.6×	76	503
Feifan Shen China	13	349 1.0×	137 0.7×	152 0.9×	57 1.1×	36 0.8×	34	515
Nizar Chatti France	8	374 1.1×	65 0.3×	145 0.9×	32 0.6×	66 1.4×	18	460
Siwei Lou China	12	261 0.7×	74 0.4×	216 1.3×	25 0.5×	42 0.9×	47	405
Daniel Jung Sweden	13	439 1.2×	130 0.6×	85 0.5×	29 0.6×	76 1.6×	58	603
Hui Yi China	11	419 1.2×	83 0.4×	207 1.3×	50 1.0×	53 1.1×	28	548
Krzysztof Patan Poland	14	647 1.8×	198 1.0×	183 1.1×	17 0.3×	20 0.4×	63	787
Zhengbing Yan China	14	460 1.3×	100 0.5×	231 1.4×	34 0.7×	121 2.6×	35	593

Countries citing papers authored by Liangjun Feng

Since Specialization

Citations

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

Fields of papers citing papers by Liangjun Feng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liangjun Feng

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

All Works

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9 of 9 papers shown

1.

Feng, Liangjun, et al.. (2024). A survey and experimental study for embedding-aware generative models: Features, models, and any-shot scenarios. Journal of Process Control. 143. 103297–103297. 2 indexed citations

2.

Feng, Liangjun, Chunhui Zhao, & Biao Huang. (2021). Adversarial smoothing tri-regression for robust semi-supervised industrial soft sensor. Journal of Process Control. 108. 86–97. 24 indexed citations

3.

Feng, Liangjun, et al.. (2020). Multichannel Diffusion Graph Convolutional Network for the Prediction of Endpoint Composition in the Converter Steelmaking Process. IEEE Transactions on Instrumentation and Measurement. 70. 1–13. 46 indexed citations

4.

Feng, Liangjun & Chunhui Zhao. (2020). Fault Description Based Attribute Transfer for Zero-Sample Industrial Fault Diagnosis. IEEE Transactions on Industrial Informatics. 17(3). 1852–1862. 252 indexed citations breakdown →

5.

Feng, Liangjun & Chunhui Zhao. (2020). Transfer Increment for Generalized Zero-Shot Learning. IEEE Transactions on Neural Networks and Learning Systems. 32(6). 2506–2520. 29 indexed citations

6.

Feng, Liangjun, et al.. (2020). BNGBS: An efficient network boosting system with triple incremental learning capabilities for more nodes, samples, and classes. Neurocomputing. 412. 486–501. 11 indexed citations

7.

Feng, Liangjun, Chunhui Zhao, & Youxian Sun. (2020). Dual Attention-Based Encoder–Decoder: A Customized Sequence-to-Sequence Learning for Soft Sensor Development. IEEE Transactions on Neural Networks and Learning Systems. 32(8). 3306–3317. 99 indexed citations

8.

Feng, Liangjun & Chunhui Zhao. (2020). Adversarial Sample Based Semi-Supervised Learning for Industrial Soft Sensor. IFAC-PapersOnLine. 53(2). 11644–11649. 2 indexed citations

9.

Feng, Liangjun, Chunhui Zhao, & Biao Huang. (2019). A slow independent component analysis algorithm for time series feature extraction with the concurrent consideration of high-order statistic and slowness. Journal of Process Control. 84. 1–12. 26 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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