Guocheng Niu

483 total citations
13 papers, 314 citations indexed

About

Guocheng Niu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Guocheng Niu has authored 13 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 2 papers in Control and Systems Engineering. Recurrent topics in Guocheng Niu's work include Multimodal Machine Learning Applications (6 papers), Topic Modeling (4 papers) and Quality Function Deployment in Product Design (2 papers). Guocheng Niu is often cited by papers focused on Multimodal Machine Learning Applications (6 papers), Topic Modeling (4 papers) and Quality Function Deployment in Product Design (2 papers). Guocheng Niu collaborates with scholars based in China and United States. Guocheng Niu's co-authors include Xinyan Xiao, Hua Wu, Hao Liu, Jiachen Liu, Haifeng Wang, Zhenyu Huang, Jian Zhang, Jun Yu, Xi Peng and Hua Wu and has published in prestigious journals such as International Journal of Computer Vision, IEEE Transactions on Circuits and Systems for Video Technology and Wind Energy.

In The Last Decade

Guocheng Niu

12 papers receiving 306 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guocheng Niu China 7 214 207 17 11 10 13 314
Jiayan Qiu Australia 5 147 0.7× 135 0.7× 14 0.8× 7 0.6× 5 0.5× 11 216
Sharan Narang United States 7 104 0.5× 192 0.9× 21 1.2× 15 1.4× 6 0.6× 7 269
Noel Codella United States 5 260 1.2× 188 0.9× 6 0.4× 9 0.8× 6 0.6× 9 338
Jihwan Bang South Korea 4 143 0.7× 187 0.9× 9 0.5× 10 0.9× 6 0.6× 5 253
Wataru Ohyama Japan 9 231 1.1× 132 0.6× 36 2.1× 4 0.4× 6 0.6× 64 313
Vikas Verma Finland 9 119 0.6× 181 0.9× 17 1.0× 9 0.8× 3 0.3× 13 241
Beichen Zhang China 8 145 0.7× 178 0.9× 13 0.8× 6 0.5× 8 0.8× 18 285
Jaehyung Kim South Korea 4 82 0.4× 163 0.8× 12 0.7× 14 1.3× 4 0.4× 12 212

Countries citing papers authored by Guocheng Niu

Since Specialization
Citations

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

Fields of papers citing papers by Guocheng Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guocheng Niu

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

All Works

13 of 13 papers shown
1.
Huang, Zhenyu, Peng Hu, Guocheng Niu, et al.. (2024). Learning with Noisy Correspondence. International Journal of Computer Vision. 132(9). 3656–3677. 2 indexed citations
2.
Niu, Guocheng, et al.. (2023). Knowledge-Constrained Answer Generation for Open-Ended Video Question Answering. Proceedings of the AAAI Conference on Artificial Intelligence. 37(7). 8141–8149. 4 indexed citations
3.
Niu, Guocheng, et al.. (2022). Towards Knowledge-Aware Video Captioning via Transitive Visual Relationship Detection. IEEE Transactions on Circuits and Systems for Video Technology. 32(10). 6753–6765. 34 indexed citations
4.
Huang, Zhenyu, Guocheng Niu, Xiao Liu, et al.. (2021). Learning with Noisy Correspondence for Cross-modal Matching. Neural Information Processing Systems. 34. 44 indexed citations
5.
Niu, Guocheng, Xinyan Xiao, Hao Liu, et al.. (2021). UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive Learning. 2592–2607. 166 indexed citations
6.
Wang, Wenbao, et al.. (2021). Power decoupling control of DFIG rotor‐side PWM converter based on auto‐disturbance rejection control. Wind Energy. 25(1). 94–106. 6 indexed citations
8.
Niu, Guocheng, et al.. (2019). Enhancing Local Feature Extraction with Global Representation for Neural Text Classification. 496–506. 12 indexed citations
9.
Niu, Guocheng, et al.. (2019). Application of AHP and EIE in Reliability Analysis of Complex Production Lines Systems. Mathematical Problems in Engineering. 2019(1). 7 indexed citations
10.
Niu, Guocheng, et al.. (2018). A New Method of Region Embedding for Text Classification. International Conference on Learning Representations. 31 indexed citations
12.
Niu, Guocheng, et al.. (2011). Data acquisition system for energy management based on OPC protocol. 40. 490–493.
13.
Niu, Guocheng, et al.. (2011). Research on energy consumption analysis of beer brewing process. 182–185. 4 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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