Haifeng Xia

794 total citations
30 papers, 531 citations indexed

About

Haifeng Xia is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Haifeng Xia has authored 30 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 17 papers in Artificial Intelligence and 3 papers in Information Systems. Recurrent topics in Haifeng Xia's work include Domain Adaptation and Few-Shot Learning (13 papers), Multimodal Machine Learning Applications (11 papers) and Machine Learning and ELM (4 papers). Haifeng Xia is often cited by papers focused on Domain Adaptation and Few-Shot Learning (13 papers), Multimodal Machine Learning Applications (11 papers) and Machine Learning and ELM (4 papers). Haifeng Xia collaborates with scholars based in United States, China and Bangladesh. Haifeng Xia's co-authors include Zhengming Ding, Handong Zhao, Yu Ding, Jyhwen Wang, Guanglei Yang, Bani K. Mallick, Mingli Ding, Jihun Hamm, Zengmao Wang and Xin Tang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Medicine.

In The Last Decade

Haifeng Xia

28 papers receiving 520 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Haifeng Xia United States	14	350	286	56	48	48	30	531
Zi-Rui Wang China	11	374 1.1×	294 1.0×	25 0.4×	23 0.5×	14 0.3×	23	661
Caixia Yan China	11	241 0.7×	325 1.1×	29 0.5×	12 0.3×	13 0.3×	20	556
Da-Wei Zhou China	12	548 1.6×	278 1.0×	12 0.2×	38 0.8×	6 0.1×	23	724
Ben Tan Hong Kong	12	310 0.9×	206 0.7×	18 0.3×	60 1.3×	8 0.2×	13	514
Himanshu Kumar India	6	432 1.2×	252 0.9×	11 0.2×	15 0.3×	59 1.2×	16	623
Di Chen China	11	101 0.3×	452 1.6×	31 0.6×	13 0.3×	13 0.3×	32	592
Mengmeng Jing China	15	619 1.8×	420 1.5×	21 0.4×	90 1.9×	5 0.1×	29	797
Daiki Ikami Japan	8	386 1.1×	243 0.8×	13 0.2×	9 0.2×	48 1.0×	12	528
Xide Xia United States	5	866 2.5×	678 2.4×	23 0.4×	17 0.4×	8 0.2×	5	1.1k
Bing Su China	14	191 0.5×	314 1.1×	14 0.3×	13 0.3×	13 0.3×	54	520

Countries citing papers authored by Haifeng Xia

Since Specialization

Citations

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

Fields of papers citing papers by Haifeng Xia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haifeng Xia

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

All Works

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20 of 20 papers shown

Jin, Shichao, Dawei Li, Ting Yun, et al.. (2025). Deep learning for three-dimensional (3D) plant phenomics. Plant Phenomics. 7(4). 100107–100107. 2 indexed citations

Liu, Zhendong, et al.. (2024). Cross-Block Fine-Grained Semantic Cascade for Skeleton-Based Sports Action Recognition. 1–10.

Li, Shaochen, Xinlan Lu, Shan Xu, et al.. (2024). SCAG: A Stratified, Clustered, and Growing-Based Algorithm for Soybean Branch Angle Extraction and Ideal Plant Architecture Evaluation. Plant Phenomics. 6. 190–190. 3 indexed citations

Liang, Xiangyu, et al.. (2024). CSTalk: Correlation Supervised Speech-driven 3D Emotional Facial Animation Generation. 1–5. 2 indexed citations

Xia, Haifeng, Siyu Xia, & Zhengming Ding. (2024). Discriminative Pattern Calibration Mechanism for Source-Free Domain Adaptation. 23648–23658. 1 indexed citations

Xia, Haifeng, et al.. (2023). Few-Shot Video Classification via Representation Fusion and Promotion Learning. 19254–19263. 6 indexed citations

Xia, Haifeng & Zhengming Ding. (2022). Cross-Domain Collaborative Normalization via Structural Knowledge. Proceedings of the AAAI Conference on Artificial Intelligence. 36(3). 2777–2785. 3 indexed citations

Xia, Haifeng, et al.. (2022). Maximum Structural Generation Discrepancy for Unsupervised Domain Adaptation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(3). 1–1. 31 indexed citations

Xia, Haifeng, Pu Wang, Toshiaki Koike‐Akino, et al.. (2022). Adversarial Bi-Regressor Network for Domain Adaptive Regression. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 3608–3614. 5 indexed citations

10.

Xia, Haifeng, Wei Gao, Jing Qu, et al.. (2020). Genetic mapping of northern corn leaf blight-resistant quantitative trait loci in maize. Medicine. 99(31). e21326–e21326. 11 indexed citations

11.

Wang, Zengmao, et al.. (2020). Joint representation learning with ratings and reviews for recommendation. Neurocomputing. 425. 181–190. 18 indexed citations

12.

Xia, Haifeng, et al.. (2020). Adaptively-Accumulated Knowledge Transfer for Partial Domain Adaptation. 1606–1614. 24 indexed citations

13.

Xia, Haifeng & Zhengming Ding. (2020). Structure Preserving Generative Cross-Domain Learning. 4363–4372. 24 indexed citations

14.

Xia, Haifeng, et al.. (2019). Leveraging Ratings and Reviews with Gating Mechanism for Recommendation. 1573–1582. 16 indexed citations

15.

Xia, Haifeng, et al.. (2018). Embedded conformal deep low-rank auto-encoder network for matrix recovery. Pattern Recognition Letters. 132. 38–45. 4 indexed citations

16.

Xia, Haifeng, et al.. (2017). Supervised neighborhood regularized collaborative representation for face recognition. Multimedia Tools and Applications. 77(22). 29509–29529. 7 indexed citations

17.

Chen, Hong, Haifeng Xia, Heng Huang, & Weidong Cai. (2016). Error analysis of generalized nyström kernel regression. Neural Information Processing Systems. 29. 2541–2549. 4 indexed citations

18.

Xia, Haifeng, Yu Ding, & Bani K. Mallick. (2011). Bayesian hierarchical model for combining misaligned two-resolution metrology data. IIE Transactions. 43(4). 242–258. 35 indexed citations

19.

Xia, Haifeng. (2010). Bayesian Hierarchical Model for Combining Two-resolution Metrology Data. OakTrust (Texas A&M University Libraries). 4 indexed citations

20.

Xia, Haifeng, Yu Ding, & Jyhwen Wang. (2008). Gaussian process method for form error assessment using coordinate measurements. IIE Transactions. 40(10). 931–946. 44 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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