Minwei Feng

2.4k total citations
13 papers, 484 citations indexed

About

Minwei Feng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Minwei Feng has authored 13 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Minwei Feng's work include Topic Modeling (8 papers), Natural Language Processing Techniques (8 papers) and Semantic Web and Ontologies (2 papers). Minwei Feng is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (8 papers) and Semantic Web and Ontologies (2 papers). Minwei Feng collaborates with scholars based in Germany, United States and China. Minwei Feng's co-authors include Bowen Zhou, Bing Xiang, Lidan Wang, Michael Glaß, Yoshua Bengio, Zhouhan Lin, Bing Xiang, Cícero Nogueira dos Santos, Mo Yu and Hermann Ney and has published in prestigious journals such as TU/e Research Portal, International Conference on Learning Representations and RWTH Publications (RWTH Aachen).

In The Last Decade

Minwei Feng

12 papers receiving 443 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Minwei Feng Germany	8	431	124	101	38	24	13	484
Yuxia Geng China	12	310 0.7×	104 0.8×	34 0.3×	10 0.3×	16 0.7×	22	373
Hai Wan China	10	338 0.8×	87 0.7×	40 0.4×	12 0.3×	3 0.1×	59	448
Zakaria Elberrichi Algeria	11	266 0.6×	65 0.5×	106 1.0×	7 0.2×	3 0.1×	38	373
H. S. Chuang Taiwan	3	147 0.3×	37 0.3×	137 1.4×	48 1.3×	3 0.1×	6	275
Depeng Dang China	11	119 0.3×	53 0.4×	60 0.6×	16 0.4×	4 0.2×	41	292
Zhao Cao China	10	200 0.5×	109 0.9×	214 2.1×	23 0.6×	4 0.2×	46	425
Chenyang Wang China	6	168 0.4×	46 0.4×	192 1.9×	21 0.6×	8 0.3×	13	265
Alexandros Agapitos Ireland	10	196 0.5×	28 0.2×	18 0.2×	24 0.6×	6 0.3×	28	255
Jinguang Gu China	9	98 0.2×	35 0.3×	58 0.6×	62 1.6×	14 0.6×	68	261

Countries citing papers authored by Minwei Feng

Since Specialization

Citations

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

Fields of papers citing papers by Minwei Feng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minwei Feng

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

13 of 13 papers shown

Zhang, Rui, Minwei Feng, Wei Zhang, Siyuan Lu, & Fei Wang. (2018). Forecast of Solar Energy Production - A Deep Learning Approach. 73–82. 38 indexed citations

Lin, Zhouhan, Minwei Feng, Cícero Nogueira dos Santos, et al.. (2017). A Structured Self-Attentive Sentence Embedding.. International Conference on Learning Representations. 182 indexed citations

Cong, Guojing, Onkar Bhardwaj, & Minwei Feng. (2017). An Efficient, Distributed Stochastic Gradient Descent Algorithm for Deep-Learning Applications. 25. 11–20. 8 indexed citations

Zhang, Wei, Minwei Feng, Yunhui Zheng, et al.. (2017). GaDei: On Scale-Up Training as a Service for Deep Learning. 1195–1200. 6 indexed citations

Wang, Lidan, Minwei Feng, Bowen Zhou, Bing Xiang, & Sridhar Mahadevan. (2015). Efficient Hyper-parameter Optimization for NLP Applications. 20 indexed citations

Feng, Minwei, Bing Xiang, Michael Glaß, Lidan Wang, & Bowen Zhou. (2015). Applying deep learning to answer selection: A study and an open task. 813–820. 192 indexed citations

Feng, Minwei, Jan-Thorsten Peter, & Hermann Ney. (2013). Advancements in Reordering Models for Statistical Machine Translation. RWTH Publications (RWTH Aachen). 1. 322–332. 8 indexed citations

Feng, Minwei, Jan-Thorsten Peter, & Hermann Ney. (2012). Sequence labeling-based reordering model for phrase-based SMT.. RWTH Publications (RWTH Aachen). 260–267.

Peitz, Stephan, Saab Mansour, Markus Freitag, et al.. (2012). The RWTH Aachen Speech Recognition and Machine Translation System for IWSLT 2012. RWTH Publications (RWTH Aachen). 69–76. 2 indexed citations

10.

Feng, Minwei, Weiwei Sun, & Hermann Ney. (2012). Semantic Cohesion Model for Phrase-Based SMT. RWTH Publications (RWTH Aachen). 867–878. 4 indexed citations

11.

Feng, Minwei, Christoph Schmidt, Joern Wuebker, et al.. (2011). The RWTH Aachen System for NTCIR-10 PatentMT. RWTH Publications (RWTH Aachen). 3 indexed citations

12.

Feng, Minwei, Arne Mauser, & Hermann Ney. (2010). A Source-side Decoding Sequence Model for Statistical Machine Translation. RWTH Publications (RWTH Aachen). 12 indexed citations

13.

Han, Jungong, Minwei Feng, & Peter H. N. de With. (2008). A real-time video surveillance system with human occlusion handling using nonlinear regression. TU/e Research Portal. 305–308. 9 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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