Xiaocheng Feng

6.8k total citations · 2 hit papers
65 papers, 2.9k citations indexed

About

Xiaocheng Feng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Xiaocheng Feng has authored 65 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Xiaocheng Feng's work include Topic Modeling (40 papers), Natural Language Processing Techniques (38 papers) and Multimodal Machine Learning Applications (11 papers). Xiaocheng Feng is often cited by papers focused on Topic Modeling (40 papers), Natural Language Processing Techniques (38 papers) and Multimodal Machine Learning Applications (11 papers). Xiaocheng Feng collaborates with scholars based in China, United States and Singapore. Xiaocheng Feng's co-authors include Bing Qin, Ting Liu, Duyu Tang, Zhangyin Feng, Nan Duan, Ming Zhou, Daxin Jiang, Ming Gong, Linjun Shou and Daya Guo and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Knowledge and Data Engineering and IEEE Transactions on Neural Systems and Rehabilitation Engineering.

In The Last Decade

Xiaocheng Feng

55 papers receiving 2.8k citations

Hit Papers

align trajectories sort by overperformance

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.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages

2020 1.4k citations Zhangyin Feng, Duyu Tang et al. profile →
A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions

2024 409 citations Lei Huang, Weijiang Yu et al. ACM Transactions on Information Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaocheng Feng China	17	1.9k	1.2k	519	360	290	65	2.9k
Zhangyin Feng China	8	1.1k 0.6×	1.3k 1.1×	609 1.2×	417 1.2×	323 1.1×	10	2.1k
Rishabh Singh United States	24	967 0.5×	1.2k 1.0×	1.1k 2.1×	341 0.9×	319 1.1×	71	2.3k
Baishakhi Ray United States	26	1.4k 0.8×	1.9k 1.6×	1.4k 2.7×	742 2.1×	776 2.7×	81	3.6k
Federica Sarro United Kingdom	30	684 0.4×	1.8k 1.5×	1.0k 2.0×	280 0.8×	422 1.5×	128	2.7k
Yuriy Brun United States	33	904 0.5×	2.0k 1.7×	1.7k 3.3×	294 0.8×	992 3.4×	124	3.3k
Xin Peng China	29	1.1k 0.6×	2.1k 1.7×	756 1.5×	337 0.9×	1.5k 5.2×	225	3.0k
Filomena Ferrucci Italy	27	486 0.3×	1.7k 1.4×	1.0k 1.9×	268 0.7×	446 1.5×	168	2.3k
Michael Hind United States	25	1.6k 0.9×	866 0.7×	646 1.2×	250 0.7×	1.1k 3.7×	62	3.0k
Gillian Dobbie New Zealand	23	998 0.5×	564 0.5×	57 0.1×	225 0.6×	433 1.5×	123	1.6k
Indrakshi Ray United States	24	1.2k 0.7×	1.1k 0.9×	294 0.6×	430 1.2×	704 2.4×	163	2.1k

Countries citing papers authored by Xiaocheng Feng

Since Specialization

Citations

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

Fields of papers citing papers by Xiaocheng Feng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaocheng Feng

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

20 of 20 papers shown

Jiang, Kui, Ming‐Chien Yang, Yi Xiao, et al.. (2025). Rep-Mamba: Re-Parameterization in Vision Mamba for Lightweight Remote Sensing Image Super-Resolution. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–12. 1 indexed citations

Huang, Lei, Weijiang Yu, Weitao Ma, et al.. (2024). A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions. ACM Transactions on Information Systems. 43(2). 1–55. 409 indexed citations breakdown →

Feng, Xiaocheng, Weijiang Yu, Haotian Wang, et al.. (2024). An Information Bottleneck Perspective for Effective Noise Filtering on Retrieval-Augmented Generation. 1044–1069. 1 indexed citations

Huang, Lei, Xiaocheng Feng, Weitao Ma, et al.. (2024). Advancing Large Language Model Attribution through Self-Improving. 3822–3836. 1 indexed citations

Zhao, Liang, Xiachong Feng, Xiaocheng Feng, et al.. (2024). Length Extrapolation of Transformers: A Survey from the Perspective of Positional Encoding. 9959–9977. 3 indexed citations

Huang, Lei, Xiaocheng Feng, Weitao Ma, et al.. (2024). Learning Fine-Grained Grounded Citations for Attributed Large Language Models. 14095–14113. 1 indexed citations

Feng, Xiaocheng, et al.. (2023). Hierarchical Catalogue Generation for Literature Review: A Benchmark. 6790–6804. 1 indexed citations

Feng, Xiaocheng, et al.. (2023). Towards Higher Pareto Frontier in Multilingual Machine Translation. 3802–3818. 4 indexed citations

Wang, Yong, et al.. (2023). Achieving high-quality silver sintered joint for highly-reliable schottky barrier diodes via pressureless method. Frontiers in Materials. 10. 1 indexed citations

10.

Feng, Xiaocheng, et al.. (2022). Unifying the Convergences in Multilingual Neural Machine Translation. 6822–6835. 4 indexed citations

11.

Wang, Longyue, et al.. (2022). Learning to refine source representations for neural machine translation. International Journal of Machine Learning and Cybernetics. 13(8). 2199–2212. 1 indexed citations

12.

Feng, Xiaocheng, et al.. (2021). Learning to Rewrite for Non-Autoregressive Neural Machine Translation. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 3297–3308. 16 indexed citations

13.

Sun, Yawei, Xiaocheng Feng, Bing Qin, et al.. (2020). TableGPT: Few-shot Table-to-Text Generation with Table Structure Reconstruction and Content Matching. 1978–1988. 40 indexed citations

14.

Sun, Yibo, Duyu Tang, Nan Duan, et al.. (2020). Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 34(5). 8960–8967. 14 indexed citations

15.

Feng, Xiaocheng, Yawei Sun, Bing Qin, et al.. (2020). Learning to Select Bi-Aspect Information for Document-Scale Text Content Manipulation. Proceedings of the AAAI Conference on Artificial Intelligence. 34(5). 7716–7723. 4 indexed citations

16.

Feng, Xiaocheng, Bing Qin, & Ting Liu. (2018). A language-independent neural network for event detection. Science China Information Sciences. 61(9). 79 indexed citations

17.

Tang, Duyu, Bing Qin, Xiaocheng Feng, & Ting Liu. (2016). Effective LSTMs for Target-Dependent Sentiment Classification. International Conference on Computational Linguistics. 3298–3307. 249 indexed citations

18.

Feng, Xiaocheng, Duyu Tang, Bing Qin, & Ting Liu. (2016). English-Chinese Knowledge Base Translation with Neural Network. International Conference on Computational Linguistics. 2935–2944. 7 indexed citations

19.

Zhang, Dongxu, Boliang Zhang, Xiaoman Pan, et al.. (2016). Bitext Name Tagging for Cross-lingual Entity Annotation Projection. International Conference on Computational Linguistics. 461–470. 7 indexed citations

20.

Feng, Xiaocheng, et al.. (2013). The no-load vacuum eutectic solder die bonding process. 6. 364–367.

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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