Qika Lin

1.3k total citations · 1 hit paper
39 papers, 712 citations indexed

About

Qika Lin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Qika Lin has authored 39 papers receiving a total of 712 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 7 papers in Information Systems. Recurrent topics in Qika Lin's work include Advanced Graph Neural Networks (18 papers), Topic Modeling (15 papers) and Natural Language Processing Techniques (6 papers). Qika Lin is often cited by papers focused on Advanced Graph Neural Networks (18 papers), Topic Modeling (15 papers) and Natural Language Processing Techniques (6 papers). Qika Lin collaborates with scholars based in China, Singapore and United States. Qika Lin's co-authors include Erik Cambria, Yifan Zhu, Rui Mao, Zhendong Niu, Jun Liu, Hao Lü, Peng Wu, Lingling Zhang, Kaize Shi and Pengfei Shi and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and Pattern Recognition.

In The Last Decade

Qika Lin

34 papers receiving 693 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.

A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics

2025 41 citations Kai He, Rui Mao et al. Information Fusion profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qika Lin China	17	483	139	125	122	49	39	712
Tyler Derr United States	18	820 1.7×	291 2.1×	104 0.8×	176 1.4×	45 0.9×	56	1.1k
Hassan Najadat Jordan	13	309 0.6×	154 1.1×	70 0.6×	80 0.7×	44 0.9×	54	559
Yee Ling Boo Australia	7	306 0.6×	136 1.0×	40 0.3×	58 0.5×	36 0.7×	22	522
Ming-Che Lee Taiwan	15	338 0.7×	247 1.8×	91 0.7×	64 0.5×	56 1.1×	53	709
Deheng Ye China	15	544 1.1×	364 2.6×	55 0.4×	85 0.7×	39 0.8×	29	885
Attila Kiss Hungary	11	271 0.6×	120 0.9×	53 0.4×	51 0.4×	27 0.6×	67	488
Cüneyt Gürcan Akçora United States	13	245 0.5×	240 1.7×	57 0.5×	37 0.3×	28 0.6×	35	596
Liang Zhou United States	17	940 1.9×	275 2.0×	79 0.6×	50 0.4×	90 1.8×	60	1.2k
Huawei Shen China	14	337 0.7×	149 1.1×	46 0.4×	63 0.5×	9 0.2×	44	526

Countries citing papers authored by Qika Lin

Since Specialization

Citations

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

Fields of papers citing papers by Qika Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qika Lin

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

20 of 20 papers shown

1.

Lin, Qika, et al.. (2025). Incorporating Large Vision Model Distillation and Fuzzy Perception for Improving Disease Diagnosis. IEEE Transactions on Fuzzy Systems. 1–11. 1 indexed citations

2.

Peng, Zhen, et al.. (2025). Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection. 2437–2446.

3.

Xiao, Luwei, Rui Mao, Shuai Zhao, et al.. (2025). Exploring Cognitive and Aesthetic Causality for Multimodal Aspect-Based Sentiment Analysis. IEEE Transactions on Affective Computing. 16(4). 3248–3265. 4 indexed citations

4.

Zhu, Haiping, et al.. (2025). Exploring knowledge poisoning attacks to retrieval-augmented generation. Information Fusion. 127. 103900–103900.

5.

He, Kai, Rui Mao, Qika Lin, et al.. (2025). A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics. Information Fusion. 118. 102963–102963. 41 indexed citations breakdown →

6.

Lin, Qika, et al.. (2025). Cross-Modal Knowledge Diffusion-Based Generation for Difference-Aware Medical VQA. IEEE Transactions on Image Processing. 34. 2421–2434. 3 indexed citations

7.

Lin, Qika, et al.. (2025). Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models. 13587–13602. 2 indexed citations

8.

Lin, Qika, et al.. (2025). Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and Beyond. IEEE Transactions on Knowledge and Data Engineering. 37(4). 1620–1634. 16 indexed citations

9.

Lin, Qika, et al.. (2024). Disentangling User Cognitive Intent with Causal Reasoning for Knowledge-Enhanced Recommendation. Cognitive Computation. 16(6). 3391–3404. 1 indexed citations

10.

Lin, Qika, Y. C. Zhu, Mei Xin, et al.. (2024). Has multimodal learning delivered universal intelligence in healthcare? A comprehensive survey. Information Fusion. 116. 102795–102795. 34 indexed citations

11.

Chen, Jiaoyan, et al.. (2024). Untargeted Adversarial Attack on Knowledge Graph Embeddings. Research Explorer (The University of Manchester). 1701–1711.

12.

Wu, Zhiyong, et al.. (2024). Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 13091–13116. 3 indexed citations

13.

Lin, Qika, et al.. (2023). MoCA: Incorporating domain pretraining and cross attention for textbook question answering. Pattern Recognition. 140. 109588–109588. 7 indexed citations

14.

Liu, Jun, et al.. (2022). Inductive Relation Prediction with Logical Reasoning Using Contrastive Representations. 4261–4274. 9 indexed citations

15.

Lin, Qika, et al.. (2022). Incorporating Context Graph with Logical Reasoning for Inductive Relation Prediction. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. 893–903. 31 indexed citations

16.

Lin, Qika, et al.. (2021). Contrastive Graph Representations for Logical Formulas Embedding. IEEE Transactions on Knowledge and Data Engineering. 35(4). 3563–3574. 12 indexed citations

17.

Ma, Jie, et al.. (2021). Multitask Learning for Visual Question Answering. IEEE Transactions on Neural Networks and Learning Systems. 34(3). 1380–1394. 23 indexed citations

18.

Ma, Jie, Jun Liu, Yufei Li, et al.. (2020). Jointly Optimized Neural Coreference Resolution with Mutual Attention. 402–410. 5 indexed citations

19.

Lin, Qika, Yifan Zhu, Hao Lü, Kaize Shi, & Zhendong Niu. (2020). Improving University Faculty Evaluations via multi-view Knowledge Graph. Future Generation Computer Systems. 117. 181–192. 23 indexed citations

20.

Lin, Qika, et al.. (2019). Collective Intelligence: A Taxonomy and Survey. IEEE Access. 7. 170213–170225. 8 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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