Xiaodong Gu

2.4k total citations · 3 hit papers
36 papers, 1.5k citations indexed

About

Xiaodong Gu is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xiaodong Gu has authored 36 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 19 papers in Information Systems and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xiaodong Gu's work include Software Engineering Research (19 papers), Topic Modeling (18 papers) and Natural Language Processing Techniques (11 papers). Xiaodong Gu is often cited by papers focused on Software Engineering Research (19 papers), Topic Modeling (18 papers) and Natural Language Processing Techniques (11 papers). Xiaodong Gu collaborates with scholars based in China, Hong Kong and Australia. Xiaodong Gu's co-authors include Sunghun Kim, Hongyu Zhang, Dongmei Zhang, Weihao Yuan, Ping Tan, Siyu Zhu, Jung-Woo Ha, Beijun Shen, Kang Min Yoo and Aline Auroux and has published in prestigious journals such as IEEE Transactions on Software Engineering, The Analyst and Thermochimica Acta.

In The Last Decade

Xiaodong Gu

32 papers receiving 1.4k citations

Hit Papers

Deep code search 2016 2026 2019 2022 2018 2016 2022 100 200 300
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. Deep code search
    2018 353 citations Xiaodong Gu, Hongyu Zhang et al. Rare & Special e-Zone (The Hong Kong University of Science and Technology) profile →
  2. Deep API learning
    2016 343 citations Xiaodong Gu, Hongyu Zhang et al. Rare & Special e-Zone (The Hong Kong University of Science and Technology) profile →
  3. Neural Window Fully-connected CRFs for Monocular Depth Estimation
    2022 173 citations Weihao Yuan, Xiaodong Gu et al. profile →

Peers

Xiaodong Gu
Bo Qiao China
Jiaqi Zhang China
Solomon Mensah Ghana
Jin Guo Canada
Zhuo Li China
Sen Chen China
Xiaoxue Wu China
Shikai Guo China
Jingwei Li China
Bo Qiao China
Xiaodong Gu
Citations per year, relative to Xiaodong Gu Xiaodong Gu (= 1×) peers Bo Qiao

Countries citing papers authored by Xiaodong Gu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaodong Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaodong Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaodong Gu. A scholar is included among the top collaborators of Xiaodong Gu 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 Xiaodong Gu. Xiaodong Gu 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.
Gu, Xiaodong, et al.. (2025). MMRL: Multi-Modal Representation Learning for Vision-Language Models. 25015–25025.
2.
Shen, Beijun, et al.. (2024). Just-in-time software defect prediction via bi-modal change representation learning. Journal of Systems and Software. 219. 112253–112253. 2 indexed citations
3.
Meng, Fandong, et al.. (2024). How Effectively Do Code Language Models Understand Poor-Readability Code?. 795–806. 2 indexed citations
4.
Wan, Chengcheng, et al.. (2024). VarGAN: Adversarial Learning of Variable Semantic Representations. IEEE Transactions on Software Engineering. 50(6). 1505–1517. 1 indexed citations
5.
Gu, Xiaodong, et al.. (2024). On the Effectiveness of Large Language Models in Domain-Specific Code Generation. ACM Transactions on Software Engineering and Methodology. 34(3). 1–22. 19 indexed citations
6.
Qiu, Lingteng, Guanying Chen, Xiaodong Gu, et al.. (2024). RichDreamer: A Generalizable Normal-Depth Diffusion Model for Detail Richness in Text-to-3D. 9914–9925. 9 indexed citations
7.
Yuan, Shuai, et al.. (2024). Few-shot code translation via task-adapted prompt learning. Journal of Systems and Software. 212. 112002–112002. 10 indexed citations
8.
Gu, Xiaodong, et al.. (2023). InfeRE: Step-by-Step Regex Generation via Chain of Inference. 1505–1515. 3 indexed citations
9.
Jiang, Wenhui, Xiaodong Gu, Yuting Chen, & Beijun Shen. (2023). DuReSE: Rewriting Incomplete Utterances via Neural Sequence Editing. Neural Processing Letters. 55(7). 8713–8730.
10.
Wan, Chengcheng, et al.. (2023). Self-Supervised Query Reformulation for Code Search. 363–374. 6 indexed citations
11.
Gu, Xiaodong, et al.. (2023). On the Evaluation of Neural Code Translation: Taxonomy and Benchmark. 1529–1541. 7 indexed citations
12.
Gu, Xiaodong, et al.. (2022). Answering Software Deployment Questions via Neural Machine Reading at Scale. 1–4. 1 indexed citations
13.
Zhang, Zhaowei, Hong‐yu Zhang, Beijun Shen, & Xiaodong Gu. (2022). Diet code is healthy: simplifying programs for pre-trained models of code. arXiv (Cornell University). 1073–1084. 23 indexed citations
14.
Gu, Xiaodong, et al.. (2022). Zero-shot program representation learning. 60–70. 6 indexed citations
15.
Zhang, Hongyu, et al.. (2022). Cross-domain deep code search with meta learning. arXiv (Cornell University). 487–498. 31 indexed citations
16.
Gu, Xiaodong, Yo-Sub Han, Sung Hun Kim, & Hongyu Zhang. (2021). Do Bugs Propagate? An Empirical Analysis of Temporal Correlations Among Software Bugs. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 1 indexed citations
17.
Gu, Xiaodong, Hongyu Zhang, & Sunghun Kim. (2018). Deep code search. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 933–944. 353 indexed citations breakdown →
18.
Gu, Xiaodong, Hongyu Zhang, Dongmei Zhang, & Sunghun Kim. (2017). DeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3675–3681. 36 indexed citations
19.
Gu, Xiaodong, et al.. (2006). Structural, redox and acid–base properties of V2O5/CeO2 catalysts. Thermochimica Acta. 451(1-2). 84–93. 59 indexed citations
20.

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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