Shuming Ma

3.0k total citations
53 papers, 1.0k citations indexed

About

Shuming Ma is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Ecology. According to data from OpenAlex, Shuming Ma has authored 53 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 3 papers in Ecology. Recurrent topics in Shuming Ma's work include Topic Modeling (35 papers), Natural Language Processing Techniques (32 papers) and Multimodal Machine Learning Applications (14 papers). Shuming Ma is often cited by papers focused on Topic Modeling (35 papers), Natural Language Processing Techniques (32 papers) and Multimodal Machine Learning Applications (14 papers). Shuming Ma collaborates with scholars based in China, United States and Hong Kong. Shuming Ma's co-authors include Xu Sun, Junyang Lin, Furu Wei, Dongdong Zhang, Qi Su, Houfeng Wang, Ming Zhou, Zhoujun Li, Pengcheng Yang and Damai Dai and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Cleaner Production and Information Sciences.

In The Last Decade

Shuming Ma

50 papers receiving 999 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shuming Ma China	21	819	272	95	36	32	53	1.0k
Xiaotong Zhang China	18	476 0.6×	232 0.9×	105 1.1×	33 0.9×	20 0.6×	64	919
Omar Khattab United States	11	619 0.8×	287 1.1×	211 2.2×	32 0.9×	27 0.8×	37	1.0k
Kunpeng Liu United States	16	314 0.4×	134 0.5×	165 1.7×	40 1.1×	25 0.8×	88	912
Yuxiang Wu China	10	1.2k 1.4×	330 1.2×	129 1.4×	29 0.8×	47 1.5×	17	1.4k
Wan Mohd Nazmee Wan Zainon Malaysia	11	252 0.3×	116 0.4×	101 1.1×	29 0.8×	21 0.7×	48	530
Huan Rong China	12	274 0.3×	72 0.3×	90 0.9×	31 0.9×	34 1.1×	51	524
Xiaojun Chen China	6	402 0.5×	68 0.3×	99 1.0×	13 0.4×	49 1.5×	13	642
Nadia Burkart Germany	4	354 0.4×	40 0.1×	40 0.4×	25 0.7×	18 0.6×	7	593
Shengbin Jia China	6	434 0.5×	65 0.2×	113 1.2×	14 0.4×	67 2.1×	11	696
Zeynep Hilal Kilimci Türkiye	13	225 0.3×	76 0.3×	102 1.1×	46 1.3×	23 0.7×	50	566

Countries citing papers authored by Shuming Ma

Since Specialization

Citations

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

Fields of papers citing papers by Shuming Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuming Ma

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

All Works

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20 of 20 papers shown

Wang, Zhi, Shaohan Huang, Dong Li, et al.. (2024). KOSMOS-E : Learning to Follow Instruction for Robotic Grasping. 9510–9517.

Dai, Damai, Yutao Sun, Dong Li, et al.. (2023). Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers. 4005–4019. 69 indexed citations

Liu, Tianyu, et al.. (2023). Discourse-Centric Evaluation of Document-level Machine Translation with a New Densely Annotated Parallel Corpus of Novels. Repository for Publications and Research Data (ETH Zurich). 7853–7872. 5 indexed citations

Yang, Jian, Shuming Ma, Li Dong, et al.. (2023). GanLM: Encoder-Decoder Pre-training with an Auxiliary Discriminator. 3 indexed citations

Ma, Shuming, et al.. (2023). On the Off-Target Problem of Zero-Shot Multilingual Neural Machine Translation. 9542–9558. 3 indexed citations

Dong, Li, Barun Patra, Shuming Ma, et al.. (2023). A Length-Extrapolatable Transformer. 14590–14604. 26 indexed citations

Huang, Lianzhe, Shuming Ma, Dongdong Zhang, Furu Wei, & Houfeng Wang. (2022). Zero-shot Cross-lingual Transfer of Prompt-based Tuning with a Unified Multilingual Prompt. 11488–11497. 14 indexed citations

Yang, Jian, Shaohan Huang, Shuming Ma, et al.. (2022). CROP: Zero-shot Cross-lingual Named Entity Recognition with Multilingual Labeled Sequence Translation. 486–496. 6 indexed citations

Yang, Jian, Yuwei Yin, Shuming Ma, et al.. (2022). GTrans: Grouping and Fusing Transformer Layers for Neural Machine Translation. IEEE/ACM Transactions on Audio Speech and Language Processing. 31. 1489–1498. 20 indexed citations

10.

Ma, Shuming, et al.. (2021). Proposing a GEE-Based Spatiotemporally Adjusted Value Transfer Method to Assess Land-Use Changes and Their Impacts on Ecosystem Service Values in the Shenyang Metropolitan Area. Sustainability. 13(22). 12694–12694. 5 indexed citations

11.

Li, Jiao Jiao, Guobao Song, Shuming Ma, et al.. (2020). Dietary acculturation generates virtual carbon flow: The overlaid effects of geographically varied dietary patterns and population migration in urban and materials-flowing China. Journal of Cleaner Production. 276. 124283–124283. 14 indexed citations

12.

Yang, Pengcheng, Fuli Luo, Shuming Ma, Junyang Lin, & Xu Sun. (2019). A Deep Reinforced Sequence-to-Set Model for Multi-Label Classification. 5252–5258. 44 indexed citations

13.

Chen, Deli, et al.. (2019). Group, Extract and Aggregate: Summarizing a Large Amount of Finance News for Forex Movement Prediction. 41–50. 11 indexed citations

14.

Lin, Junyang, Xu Sun, Xuancheng Ren, et al.. (2018). Deconvolution-Based Global Decoding for Neural Machine Translation. arXiv (Cornell University). 3260–3271. 3 indexed citations

15.

Lin, Junyang, Xu Sun, Shuming Ma, & Qi Su. (2018). Global Encoding for Abstractive Summarization. 163–169. 91 indexed citations

16.

Ma, Shuming, Xu Sun, Wei Li, et al.. (2018). Word Embedding Attention Network: Generating Words by Querying Distributed Word Representations for Paraphrase Generation. arXiv (Cornell University). 2 indexed citations

17.

Wang, Hao, Xiaodong Zhang, Shuming Ma, et al.. (2018). A Neural Question Answering Model Based on Semi-Structured Tables. International Conference on Computational Linguistics. 1941–1951. 3 indexed citations

18.

Ma, Shuming, Xu Sun, Jingjing Xu, et al.. (2017). Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text Summarization. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 635–640. 33 indexed citations

19.

Sun, Xu, Xuancheng Ren, Shuming Ma, & Houfeng Wang. (2017). meProp: sparsified back propagation for accelerated deep learning with reduced overfitting. International Conference on Machine Learning. 3299–3308. 23 indexed citations

20.

Ma, Mingyuan, et al.. (2017). Stochastic Strictly Contractive Peaceman-Rachford Splitting Method.. arXiv (Cornell University). 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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