Mingyang Geng

403 total citations · 1 hit paper
25 papers, 223 citations indexed

About

Mingyang Geng is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mingyang Geng has authored 25 papers receiving a total of 223 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 9 papers in Information Systems and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mingyang Geng's work include Software Engineering Research (8 papers), Topic Modeling (5 papers) and Software Reliability and Analysis Research (3 papers). Mingyang Geng is often cited by papers focused on Software Engineering Research (8 papers), Topic Modeling (5 papers) and Software Reliability and Analysis Research (3 papers). Mingyang Geng collaborates with scholars based in China, Australia and Singapore. Mingyang Geng's co-authors include Shangwen Wang, Xiaoguang Mao, Zhi Jin, Dezun Dong, Ge Li, Bo Ding, Xiangke Liao, Long Lan, Huaimin Wang and Lei Zhang and has published in prestigious journals such as Sensors, IEEE Transactions on Software Engineering and Computers and Electronics in Agriculture.

In The Last Decade

Mingyang Geng

22 papers receiving 218 citations

Hit Papers

Large Language Models are Few-Shot Summarizers: Multi-Int... 2024 2026 2025 2024 25 50 75
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. Large Language Models are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learning
    2024 78 citations Mingyang Geng, Shangwen Wang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingyang Geng China 8 102 101 54 50 42 25 223
Muslum Ozgur Ozmen United States 8 149 1.5× 67 0.7× 59 1.1× 15 0.3× 38 0.9× 20 223
Ryan W. Gardner United States 9 93 0.9× 34 0.3× 50 0.9× 39 0.8× 12 0.3× 16 174
Shigeru Imai United States 8 56 0.5× 83 0.8× 114 2.1× 26 0.5× 16 0.4× 24 213
Kasper Søe Luckow United States 9 115 1.1× 68 0.7× 64 1.2× 105 2.1× 57 1.4× 20 270
Lee Pike United States 11 117 1.1× 37 0.4× 71 1.3× 70 1.4× 13 0.3× 32 267
Joey Paquet Canada 7 127 1.2× 91 0.9× 128 2.4× 28 0.6× 12 0.3× 41 216
Ahmed Fawzi Otoom Jordan 10 134 1.3× 104 1.0× 107 2.0× 28 0.6× 45 1.1× 32 271
Marc Brooker South Africa 5 84 0.8× 138 1.4× 208 3.9× 48 1.0× 8 0.2× 13 317
Anatoliy Gorbenko United Kingdom 9 61 0.6× 103 1.0× 134 2.5× 26 0.5× 14 0.3× 42 249
Rozmie Razif Othman Malaysia 9 65 0.6× 95 0.9× 45 0.8× 152 3.0× 79 1.9× 35 281

Countries citing papers authored by Mingyang Geng

Since Specialization
Citations

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

Fields of papers citing papers by Mingyang Geng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingyang Geng

This figure shows the co-authorship network connecting the top 25 collaborators of Mingyang Geng. A scholar is included among the top collaborators of Mingyang Geng 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 Mingyang Geng. Mingyang Geng 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.
Geng, Mingyang, et al.. (2025). Using improved density peak clustering algorithm for flower cluster identification and apple central and peripheral flower detection. Computers and Electronics in Agriculture. 232. 110095–110095. 1 indexed citations
2.
Peng, Yongdong, et al.. (2025). Application of Omics in Donkey Meat Research: A Review. Animals. 15(7). 991–991. 1 indexed citations
3.
4.
Geng, Mingyang, et al.. (2024). Using unmanned aerial vehicle acquired RGB images and Density-Cluster-Count model for tree-level apple flower quantification. Computers and Electronics in Agriculture. 226. 109389–109389. 6 indexed citations
5.
Geng, Mingyang, Shangwen Wang, Dezun Dong, et al.. (2024). Large Language Models are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learning. 1–13. 78 indexed citations breakdown →
6.
7.
Lin, Zhipeng, Wenjing Yang, Long Lan, et al.. (2024). Diversifying Cross-Domain Few-Shot Learning via Multimodal Image Editing. 7375–7379. 1 indexed citations
8.
Wang, Shangwen, Mingyang Geng, Bo Lin, et al.. (2024). Fusing Code Searchers. IEEE Transactions on Software Engineering. 50(7). 1852–1866. 4 indexed citations
9.
Li, Jiali, Jian Xiong, Mingyang Geng, et al.. (2024). Preliminary observations on the physiology and behavior of  Sytretomorpha szaboi Papp. Journal of Apicultural Research. 64(5). 1392–1394.
10.
Kuang, Kun, et al.. (2023). Treatment Effect Estimation with Adjustment Feature Selection. 2290–2301. 7 indexed citations
11.
Geng, Mingyang, et al.. (2023). Input Transformation for Pre-Trained-Model-Based Cross-Language Code Search. 33. 403–412. 1 indexed citations
12.
Geng, Mingyang, et al.. (2023). Interpretation-based Code Summarization. 113–124. 9 indexed citations
13.
Wang, Shangwen, Mingyang Geng, Bo Lin, et al.. (2023). Natural Language to Code: How Far Are We?. Open Repository and Bibliography (University of Luxembourg). 375–387. 11 indexed citations
14.
Geng, Mingyang, et al.. (2023). Hierarchical Semantic Graph Construction and Pooling Approach for Cross-language Code Retrieval. 393–402. 1 indexed citations
15.
Zeng, Chen, Yue Yu, Shanshan Li, et al.. (2022). deGraphCS : Embedding Variable-based Flow Graph for Neural Code Search. ACM Transactions on Software Engineering and Methodology. 32(2). 1–27. 26 indexed citations
16.
Geng, Mingyang, Shangwen Wang, Shanzhi Gu, et al.. (2022). Fine-grained code-comment semantic interaction analysis. 585–596. 9 indexed citations
17.
Geng, Mingyang, et al.. (2021). Attention-Based Fault-Tolerant Approach for Multi-Agent Reinforcement Learning Systems. Entropy. 23(9). 1133–1133. 10 indexed citations
18.
Geng, Mingyang, Kele Xu, Xing Zhou, et al.. (2019). Learning to Cooperate via an Attention-Based Communication Neural Network in Decentralized Multi-Robot Exploration. Entropy. 21(3). 294–294. 17 indexed citations
19.
Geng, Mingyang, et al.. (2019). Unsupervised Learning-Based Depth Estimation-Aided Visual SLAM Approach. Circuits Systems and Signal Processing. 39(2). 543–570. 17 indexed citations
20.
Geng, Mingyang, Yiying Li, Bo Ding, & Huaimin Wang. (2018). Deep Learning-based Cooperative Trail Following for Multi-Robot System. 31. 1–8. 5 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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Breakdown of academic impact, for papers by Muslum Ozgur Ozmen Breakdown of academic impact, for papers by Ryan W. Gardner Breakdown of academic impact, for papers by Shigeru Imai Breakdown of academic impact, for papers by Kasper Søe Luckow Breakdown of academic impact, for papers by Lee Pike Breakdown of academic impact, for papers by Joey Paquet Breakdown of academic impact, for papers by Ahmed Fawzi Otoom Breakdown of academic impact, for papers by Marc Brooker Breakdown of academic impact, for papers by Anatoliy Gorbenko Breakdown of academic impact, for papers by Rozmie Razif Othman
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