Di Xie

6.5k total citations · 1 hit paper
73 papers, 3.2k citations indexed

About

Di Xie is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Di Xie has authored 73 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Vision and Pattern Recognition, 20 papers in Artificial Intelligence and 9 papers in Information Systems. Recurrent topics in Di Xie's work include Domain Adaptation and Few-Shot Learning (14 papers), Advanced Neural Network Applications (12 papers) and Video Surveillance and Tracking Methods (11 papers). Di Xie is often cited by papers focused on Domain Adaptation and Few-Shot Learning (14 papers), Advanced Neural Network Applications (12 papers) and Video Surveillance and Tracking Methods (11 papers). Di Xie collaborates with scholars based in China, United States and Australia. Di Xie's co-authors include Xing Chen, Qi Zhao, Shiliang Pu, Zhu‐Hong You, Qiaoyong Zhong, Chao Li, Yueting Zhuang, Yuanming Hu, Ramana Rao Kompella and Fanfan Ye and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Di Xie

66 papers receiving 3.2k 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.

MicroRNAs and complex diseases: from experimental results to computational models

2017 531 citations Xing Chen, Di Xie et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Di Xie China	23	1.3k	946	927	785	517	73	3.2k
Zhenkun Wen China	21	642 0.5×	508 0.5×	686 0.7×	286 0.4×	163 0.3×	57	2.1k
Wen Li China	29	2.0k 1.5×	163 0.2×	1.7k 1.8×	180 0.2×	188 0.4×	138	3.2k
Hanli Wang China	28	1.9k 1.4×	184 0.2×	760 0.8×	58 0.1×	264 0.5×	194	3.1k
Sheraz Ahmed Germany	23	802 0.6×	231 0.2×	886 1.0×	64 0.1×	70 0.1×	110	2.2k
Qingyao Wu China	31	1.7k 1.3×	224 0.2×	1.9k 2.1×	82 0.1×	147 0.3×	116	3.4k
Jia Wu China	33	837 0.6×	441 0.5×	1.0k 1.1×	327 0.4×	260 0.5×	182	3.7k
Saurav Mallik India	27	195 0.1×	832 0.9×	447 0.5×	289 0.4×	115 0.2×	188	2.1k
Yonghong Peng United Kingdom	26	464 0.3×	459 0.5×	753 0.8×	37 0.0×	179 0.3×	126	2.5k
Lin Wu China	31	2.3k 1.7×	170 0.2×	944 1.0×	50 0.1×	404 0.8×	137	3.6k
Jie Wen China	38	3.4k 2.5×	211 0.2×	2.0k 2.2×	29 0.0×	219 0.4×	200	5.1k

Countries citing papers authored by Di Xie

Since Specialization

Citations

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

Fields of papers citing papers by Di Xie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di Xie

This figure shows the co-authorship network connecting the top 25 collaborators of Di Xie. A scholar is included among the top collaborators of Di 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 Di Xie. Di Xie 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

Xie, Di, et al.. (2025). Switchable Polymerization from Monomer Mixtures to Synthesize Oxygen‐Rich Block Copolymers with Dual Recyclability and Degradability. Angewandte Chemie International Edition. 64(16). e202424856–e202424856. 1 indexed citations

Zeng, Guanzhong, et al.. (2025). Gaze Label Alignment: Alleviating Domain Shift for Gaze Estimation. Proceedings of the AAAI Conference on Artificial Intelligence. 39(9). 9780–9788.

Xie, Di & Yachao Sun. (2024). Decolonizing English Academic Writing education through translingual practices. Linguistics and Education. 81. 101307–101307. 10 indexed citations

Tao, Runming, Susheng Tan, Xiang Lyu, et al.. (2024). In-situ ionothermal synthesis of nanoporous carbon/oxide composites: A new key to functional separators for stable lithium-sulfur batteries. Nano Energy. 130. 110091–110091. 18 indexed citations

Chen, Weijie, et al.. (2023). Better Together: Data-Free Multi-Student Coevolved Distillation. Knowledge-Based Systems. 283. 111146–111146. 3 indexed citations

Chen, Weijie, et al.. (2023). Distilling Vision-Language Foundation Models: A Data-Free Approach via Prompt Diversification. 4928–4938.

Chen, Weijie, Luojun Lin, Shicai Yang, et al.. (2022). Self-Supervised Noisy Label Learning for Source-Free Unsupervised Domain Adaptation. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 10185–10192. 31 indexed citations

Xu, Kailin, Fanfan Ye, Qiaoyong Zhong, & Di Xie. (2022). Topology-Aware Convolutional Neural Network for Efficient Skeleton-Based Action Recognition. Proceedings of the AAAI Conference on Artificial Intelligence. 36(3). 2866–2874. 108 indexed citations

Ma, Liang, Qiaoyong Zhong, Yingying Zhang, Di Xie, & Shiliang Pu. (2021). Associative affinity network learning for multi-object tracking. Frontiers of Information Technology & Electronic Engineering. 22(9). 1194–1206. 2 indexed citations

10.

Yang, Shicai, et al.. (2021). TransForensics: Image Forgery Localization with Dense Self-Attention. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 15035–15044. 44 indexed citations

11.

Zhang, Yingying, et al.. (2021). Divide-and-Assemble: Learning Block-wise Memory for Unsupervised Anomaly Detection. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 8771–8780. 121 indexed citations

12.

Chen, Weijie, et al.. (2020). Neural Inheritance Relation Guided One-Shot Layer Assignment Search. Proceedings of the AAAI Conference on Artificial Intelligence. 34(4). 5158–5165. 4 indexed citations

13.

Xu, Dejing, Jun Xiao, Zhou Zhao, et al.. (2019). Self-Supervised Spatiotemporal Learning via Video Clip Order Prediction. 10326–10335. 250 indexed citations

14.

Zhang, Songyang, Yang Yang, Jun Xiao, et al.. (2018). Fusing Geometric Features for Skeleton-Based Action Recognition Using Multilayer LSTM Networks. IEEE Transactions on Multimedia. 20(9). 2330–2343. 146 indexed citations

15.

Zhou, Lulu, et al.. (2018). A Practical Convolutional Neural Network as Loop Filter for Intra Frame. 1133–1137. 29 indexed citations

16.

Chen, Xing, Zhichao Jiang, Di Xie, et al.. (2017). A novel computational model based on super-disease and miRNA for potential miRNA–disease association prediction. Molecular BioSystems. 13(6). 1202–1212. 44 indexed citations

17.

Zhao, Qi, Di Xie, Hongsheng Liu, et al.. (2017). SSCMDA: spy and super cluster strategy for MiRNA-disease association prediction. Oncotarget. 9(2). 1826–1842. 10 indexed citations

18.

Gandhi, Rohan, Di Xie, & Yuanming Hu. (2013). PIKACHU: how to rebalance load in optimizing mapreduce on heterogeneous clusters. USENIX Annual Technical Conference. 61–66. 28 indexed citations

19.

Liu, Zhiming, et al.. (2012). Complex Network Security Analysis Based on Attack Graph Model. 183–186. 9 indexed citations

20.

Xie, Di, Yi Hu, & Ramana Rao Kompella. (2012). On the performance projectability of MapReduce. 301–308. 3 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.

Explore authors with similar magnitude of impact