Jiyang Xie

2.2k total citations · 1 hit paper
40 papers, 1.2k citations indexed

About

Jiyang Xie is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Jiyang Xie has authored 40 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 25 papers in Computer Vision and Pattern Recognition and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Jiyang Xie's work include Advanced Neural Network Applications (12 papers), Domain Adaptation and Few-Shot Learning (10 papers) and Video Surveillance and Tracking Methods (8 papers). Jiyang Xie is often cited by papers focused on Advanced Neural Network Applications (12 papers), Domain Adaptation and Few-Shot Learning (10 papers) and Video Surveillance and Tracking Methods (8 papers). Jiyang Xie collaborates with scholars based in China, United Kingdom and Australia. Jiyang Xie's co-authors include Zhanyu Ma, Jun Guo, Dongliang Chang, Xiaoxu Li, Qie Sun, Yifeng Ding, Yi-Zhe Song, Zhongwei Si, Ayan Kumar Bhunia and Ming Wu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Applied Energy and IEEE Transactions on Image Processing.

In The Last Decade

Jiyang Xie

38 papers receiving 1.2k citations

Hit Papers

The Devil is in the Chann... 2020 2026 2022 2024 2020 50 100 150 200 250
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.

  1. The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification
    2020 270 citations Dongliang Chang, Yifeng Ding et al. IEEE Transactions on Image Processing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiyang Xie China 16 575 550 315 145 92 40 1.2k
Dongliang Chang China 14 588 1.0× 641 1.2× 228 0.7× 121 0.8× 132 1.4× 41 1.2k
Quan Cui China 8 670 1.2× 519 0.9× 170 0.5× 62 0.4× 69 0.8× 11 1.3k
Hassan Shaban Egypt 10 564 1.0× 194 0.4× 175 0.6× 65 0.4× 46 0.5× 19 1.0k
Waseem Ullah South Korea 15 652 1.1× 515 0.9× 431 1.4× 58 0.4× 30 0.3× 38 1.4k
Ömer Nezih Gerek Türkiye 23 347 0.6× 552 1.0× 717 2.3× 177 1.2× 172 1.9× 108 1.6k
Zulfiqar Ahmad Khan South Korea 20 581 1.0× 444 0.8× 895 2.8× 172 1.2× 32 0.3× 36 1.7k
Eva Trojovská Czechia 14 743 1.3× 167 0.3× 389 1.2× 59 0.4× 35 0.4× 26 1.5k
Shokooh Taghian Iran 12 887 1.5× 203 0.4× 298 0.9× 64 0.4× 19 0.2× 14 1.5k
D. Binu India 12 411 0.7× 185 0.3× 348 1.1× 37 0.3× 30 0.3× 33 1.1k

Countries citing papers authored by Jiyang Xie

Since Specialization
Citations

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

Fields of papers citing papers by Jiyang Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiyang Xie

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

All Works

20 of 20 papers shown
1.
Li, Xiaoxu, Song Xue, Jiyang Xie, et al.. (2025). Interactive triplet attention for few-shot fine-grained image classification. Neurocomputing. 655. 131377–131377.
2.
Li, Xiaoxu, et al.. (2025). CDN4: A cross-view Deep Nearest Neighbor Neural Network for fine-grained few-shot classification. Pattern Recognition. 163. 111466–111466. 3 indexed citations
3.
Li, Xiaoxu, et al.. (2024). Self-reconstruction network for fine-grained few-shot classification. Pattern Recognition. 153. 110485–110485. 15 indexed citations
4.
Yang, Yuqi, Jiyang Xie, Zhongwei Si, et al.. (2023). Multi-Head Uncertainty Inference for Adversarial Attack Detection. 1–5. 1 indexed citations
5.
Su, Xiu, Shan You, Jiyang Xie, et al.. (2022). Searching for Network Width With Bilaterally Coupled Network. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(7). 1–17. 4 indexed citations
6.
Xie, Jiyang, et al.. (2022). MPCCL: Multiview predictive coding with contrastive learning for person re-identification. Pattern Recognition. 129. 108710–108710. 14 indexed citations
7.
Zheng, Wenqing, Jiyang Xie, Xian Sun, & Zhanyu Ma. (2022). Structured Dropconnect for Uncertainty Inference in Image Classification. 2022 IEEE International Conference on Image Processing (ICIP). 366–370. 2 indexed citations
8.
Guo, Yurong, Ruoyi Du, Xiaoxu Li, et al.. (2022). Learning Calibrated Class Centers for Few-Shot Classification by Pair-Wise Similarity. IEEE Transactions on Image Processing. 31. 4543–4555. 42 indexed citations
9.
10.
Xie, Jiyang, Zhanyu Ma, Jing‐Hao Xue, et al.. (2021). DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference in Image Recognition. IEEE Transactions on Image Processing. 30. 9208–9219. 7 indexed citations
11.
Du, Ruoyi, Jiyang Xie, Zhanyu Ma, et al.. (2021). Progressive Learning of Category-Consistent Multi-Granularity Features for Fine-Grained Visual Classification. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(12). 9521–9535. 81 indexed citations
12.
Xie, Jiyang, et al.. (2021). Part Uncertainty Estimation Convolutional Neural Network For Person Re-Identification. 2304–2308. 3 indexed citations
13.
Ma, Zhanyu, Jiyang Xie, Zhen Yang, et al.. (2020). On the Comparisons of Decorrelation Approaches for Non-Gaussian Neutral Vector Variables. IEEE Transactions on Neural Networks and Learning Systems. 34(4). 1823–1837. 7 indexed citations
14.
Chang, Dongliang, et al.. (2020). IU-Module: Intersection and Union Module for Fine-Grained Visual Classification. 1–6. 3 indexed citations
15.
Ma, Zhanyu, et al.. (2019). Insights Into Multiple/Single Lower Bound Approximation for Extended Variational Inference in Non-Gaussian Structured Data Modeling. IEEE Transactions on Neural Networks and Learning Systems. 31(7). 1–15. 36 indexed citations
16.
Chang, Dongliang, et al.. (2019). FICAL: Focal Inter-Class Angular Loss for Image Classification. 2. 1–4. 3 indexed citations
17.
Ma, Zhanyu, Dongliang Chang, Jiyang Xie, et al.. (2019). Fine-Grained Vehicle Classification With Channel Max Pooling Modified CNNs. IEEE Transactions on Vehicular Technology. 68(4). 3224–3233. 105 indexed citations
18.
Liu, Luyao, Yi Zhao, Dongliang Chang, et al.. (2018). Prediction of short-term PV power output and uncertainty analysis. Applied Energy. 228. 700–711. 230 indexed citations
19.
20.
Chang, Dongliang, Xiaoxu Li, Jiyang Xie, et al.. (2018). SSE: A New Selective Initialization Strategy for Snapshot Ensembling. 542–547. 1 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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