Mingyue Shang

534 total citations
23 papers, 267 citations indexed

About

Mingyue Shang is a scholar working on Artificial Intelligence, Surgery and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mingyue Shang has authored 23 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 6 papers in Surgery and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mingyue Shang's work include Topic Modeling (11 papers), Natural Language Processing Techniques (10 papers) and Bariatric Surgery and Outcomes (6 papers). Mingyue Shang is often cited by papers focused on Topic Modeling (11 papers), Natural Language Processing Techniques (10 papers) and Bariatric Surgery and Outcomes (6 papers). Mingyue Shang collaborates with scholars based in China, United States and Australia. Mingyue Shang's co-authors include Rui Yan, Dongyan Zhao, Wei Wu, Chongyang Tao, Shen Gao, Zhenxin Fu, Baishakhi Ray, Lidong Bing, Siddhartha Jain and Xiaofei Ma and has published in prestigious journals such as International Journal of Psychophysiology, Obesity Surgery and Surgery for Obesity and Related Diseases.

In The Last Decade

Mingyue Shang

18 papers receiving 257 citations

Peers

Mingyue Shang
Samuel Weinbach United States
Amir Kantor Israel
Jerzy Letkowski United States
Lalita Bhanu Murthy Neti India
Nils Blach Switzerland
Chengtai Cao China
Burcu Can Türkiye
Haoxuan Che Hong Kong
Maura Pintor Italy
Ales Kubicek Switzerland
Samuel Weinbach United States
Mingyue Shang
Citations per year, relative to Mingyue Shang Mingyue Shang (= 1×) peers Samuel Weinbach

Countries citing papers authored by Mingyue Shang

Since Specialization
Citations

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

Fields of papers citing papers by Mingyue Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingyue Shang

This figure shows the co-authorship network connecting the top 25 collaborators of Mingyue Shang. A scholar is included among the top collaborators of Mingyue Shang 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 Mingyue Shang. Mingyue Shang 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.
Sun, Yilan, Qing Sang, Zheng Wang, et al.. (2025). Establishing a Prediction Model for Weight Loss Outcomes After LSG in Chinese Obese Patients with BMI ≥ 32.5 Kg/m2 Using Body Composition Data. Diabetes Metabolic Syndrome and Obesity. Volume 18. 1467–1487.
2.
Athiwaratkun, Ben, Shiqi Wang, Mingyue Shang, et al.. (2024). Token Alignment via Character Matching for Subword Completion. 15725–15738.
3.
Wang, Zheng, Guangzhong Xu, Liang Wang, et al.. (2024). Analysis Using Various Models on the Effect of Metabolic Surgery on Cardiovascular Disease Risk in the Chinese Population with Obesity. Diabetes Metabolic Syndrome and Obesity. Volume 17. 2457–2468. 1 indexed citations
4.
Shang, Mingyue, Dexiao Du, Guangzhong Xu, et al.. (2024). Comparative Study for Safety and Efficacy of OAGB and SADJB-SG: A Retrospective Study. Diabetes Metabolic Syndrome and Obesity. Volume 17. 3499–3508. 1 indexed citations
5.
Qian, Haifeng, Sujan K. Gonugondla, Mingyue Shang, et al.. (2024). BASS: Batched Attention-optimized Speculative Sampling. 8214–8224.
6.
Shang, Mingyue, Guangzhong Xu, Dezhong Wang, et al.. (2024). A Predictive Nomogram for the Occurrence of Gastroesophageal Reflux Disease After Sleeve Gastrectomy: A Study Based on Preoperative HERM. Diabetes Metabolic Syndrome and Obesity. Volume 17. 4135–4147.
7.
Jain, Siddhartha, et al.. (2024). Code-Aware Prompting: A Study of Coverage-Guided Test Generation in Regression Setting using LLM. Proceedings of the ACM on software engineering.. 1(FSE). 951–971. 32 indexed citations
8.
Wei, Xiaokai, Sujan K. Gonugondla, Wasi Uddin Ahmad, et al.. (2023). Towards Greener Yet Powerful Code Generation via Quantization: An Empirical Study. 224–236. 14 indexed citations
9.
Xu, Guangzhong, Zheng Wang, Chengyuan Yu, et al.. (2023). An Assessment of the Effect of Bariatric Surgery on Cardiovascular Disease Risk in the Chinese Population Using Multiple Cardiovascular Risk Models. Diabetes Metabolic Syndrome and Obesity. Volume 16. 1029–1042. 2 indexed citations
10.
Wang, Shiqi, Zheng Li, Haifeng Qian, et al.. (2023). ReCode: Robustness Evaluation of Code Generation Models. 13818–13843. 22 indexed citations
11.
Yu, Chengyuan, et al.. (2023). Comparison of various prediction models in the effect of Roux-en-Y gastric bypass on type 2 diabetes in the Chinese population 5 years after surgery. Surgery for Obesity and Related Diseases. 19(11). 1288–1295. 1 indexed citations
12.
13.
Shang, Mingyue, Jie Ma, Patrick Ng, et al.. (2023). Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning. 16171–16189.
14.
Shang, Mingyue, et al.. (2021). Use of Machine Learning for Simplification of Symptom Checklist 90. International Journal of Psychophysiology. 168. S132–S132. 2 indexed citations
15.
Shang, Mingyue, Tong Wang, Mihail Eric, et al.. (2021). Entity Resolution in Open-domain Conversations. 26–33. 4 indexed citations
16.
Fu, Zhenxin, Shaobo Cui, Mingyue Shang, et al.. (2020). Context-to-Session Matching: Utilizing Whole Session for Response Selection in Information-Seeking Dialogue Systems. 1605–1613. 9 indexed citations
17.
Shang, Mingyue, Zhenxin Fu, Hongzhi Yin, et al.. (2019). Find a Reasonable Ending for Stories: Does Logic Relation Help the Story Cloze Test?. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 10031–10032. 1 indexed citations
18.
Liu, Cong, et al.. (2019). Application of Recommender System in Intelligent Community under Big Data Scenario. 18. 92–96. 1 indexed citations
19.
20.
Shang, Mingyue, Zhenxin Fu, Nanyun Peng, et al.. (2018). Learning to Converse with Noisy Data: Generation with Calibration. 4338–4344. 18 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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