Xinyin Ma

842 total citations · 1 hit paper
9 papers, 392 citations indexed

About

Xinyin Ma is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Xinyin Ma has authored 9 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 2 papers in Molecular Biology and 2 papers in Information Systems. Recurrent topics in Xinyin Ma's work include Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers) and Multimodal Machine Learning Applications (2 papers). Xinyin Ma is often cited by papers focused on Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers) and Multimodal Machine Learning Applications (2 papers). Xinyin Ma collaborates with scholars based in China, Singapore and Cayman Islands. Xinyin Ma's co-authors include Gongfan Fang, Xinchao Wang, Mingli Song, Weiming Lü, Yongliang Shen, Shuai Zhang, Zeqi Tan, Wen Wang, Peng Wang and Wei Xu and has published in prestigious journals such as Information Processing & Management, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing and Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence.

In The Last Decade

Xinyin Ma

8 papers receiving 381 citations

Hit Papers

align trajectories

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.

DepGraph: Towards Any Structural Pruning

2023 217 citations Gongfan Fang, Xinyin Ma et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xinyin Ma China	6	240	129	40	32	22	9	392
Yinglong Zhang China	7	297 1.2×	45 0.3×	14 0.3×	11 0.3×	19 0.9×	17	408
Mohammad Hashem Ryalat Jordan	10	232 1.0×	80 0.6×	7 0.2×	21 0.7×	23 1.0×	19	389
Dalila B. Megherbi United States	9	106 0.4×	164 1.3×	33 0.8×	8 0.3×	10 0.5×	85	366
Adis Alihodžić Bosnia and Herzegovina	9	161 0.7×	145 1.1×	9 0.2×	22 0.7×	23 1.0×	25	352
Ezgi Zorarpacı Türkiye	6	276 1.1×	65 0.5×	13 0.3×	20 0.6×	16 0.7×	10	371
Yupeng Chen China	9	187 0.8×	96 0.7×	9 0.2×	18 0.6×	15 0.7×	13	331
Ji Wan China	7	189 0.8×	515 4.0×	13 0.3×	22 0.7×	10 0.5×	8	676
Ling Ding China	10	177 0.7×	94 0.7×	6 0.1×	21 0.7×	13 0.6×	43	371

Countries citing papers authored by Xinyin Ma

Since Specialization

Citations

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

Fields of papers citing papers by Xinyin Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinyin Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Xinyin Ma. A scholar is included among the top collaborators of Xinyin 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 Xinyin Ma. Xinyin Ma 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:

9 of 9 papers shown

1.

Fang, Gongfan, K. Li, Xinyin Ma, & Xinchao Wang. (2025). TinyFusion: Diffusion Transformers Learned Shallow. 18144–18154.

2.

Fang, Gongfan, et al.. (2023). DepGraph: Towards Any Structural Pruning. 16091–16101. 217 indexed citations breakdown →

3.

Ma, Xinyin, Xinchao Wang, Gongfan Fang, Yongliang Shen, & Weiming Lü. (2022). Prompting to Distill: Boosting Data-Free Knowledge Distillation via Reinforced Prompt. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 4296–4302. 1 indexed citations

4.

Shen, Yongliang, Xinyin Ma, Zeqi Tan, et al.. (2021). Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition. 2782–2794. 110 indexed citations

5.

Ma, Xinyin, Yong Jiang, Nguyễn Bách, et al.. (2021). MuVER: Improving First-Stage Entity Retrieval with Multi-View Entity Representations. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 2617–2624. 5 indexed citations

6.

Shen, Yongliang, et al.. (2021). A Trigger-Sense Memory Flow Framework for Joint Entity and Relation Extraction. 1704–1715. 39 indexed citations

7.

Shen, Yongliang, et al.. (2020). SynET: Synonym Expansion using Transitivity. 1961–1970. 1 indexed citations

8.

Ma, Xinyin, Yongliang Shen, Gongfan Fang, et al.. (2020). Adversarial Self-Supervised Data-Free Distillation for Text Classification. 6182–6192. 10 indexed citations

9.

Lü, Weiming, Peng Wang, Xinyin Ma, Wei Xu, & Chen Chen. (2020). Enrich cross-lingual entity links for online wikis via multi-modal semantic matching. Information Processing & Management. 57(5). 102271–102271. 9 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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