Qingqi Hong

1.4k total citations · 3 hit papers
48 papers, 819 citations indexed

About

Qingqi Hong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Qingqi Hong has authored 48 papers receiving a total of 819 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 9 papers in Computational Mechanics. Recurrent topics in Qingqi Hong's work include Medical Image Segmentation Techniques (14 papers), 3D Shape Modeling and Analysis (9 papers) and AI in cancer detection (6 papers). Qingqi Hong is often cited by papers focused on Medical Image Segmentation Techniques (14 papers), 3D Shape Modeling and Analysis (9 papers) and AI in cancer detection (6 papers). Qingqi Hong collaborates with scholars based in China, United Kingdom and United States. Qingqi Hong's co-authors include Qingde Li, Zihan Li, Qingqiang Wu, Beizhan Wang, Yudong Zhang, Jian Wang, Xiang Yu, Shuihua Wang‎, Jinjin Li and Ying Ju and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and IEEE Transactions on Image Processing.

In The Last Decade

Qingqi Hong

43 papers receiving 804 citations

Hit Papers

align trajectories sort by overperformance

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.

Transfer learning for medical images analyses: A survey

2022 136 citations Xiang Yu, Jian Wang et al. Neurocomputing profile →
LViT: Language Meets Vision Transformer in Medical Image Segmentation

2023 135 citations Zihan Li, Yunxiang Li et al. IEEE Transactions on Medical Imaging profile →
ScribFormer: Transformer Makes CNN Work Better for Scribble-Based Medical Image Segmentation

2024 53 citations Zihan Li, Shuzhou Yang et al. IEEE Transactions on Medical Imaging profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qingqi Hong China	13	276	255	191	164	88	48	819
Pei Chen China	15	194 0.7×	154 0.6×	169 0.9×	196 1.2×	64 0.7×	79	854
Cheng Zhong China	15	224 0.8×	202 0.8×	119 0.6×	55 0.3×	36 0.4×	45	665
Zhiqiong Wang China	16	181 0.7×	543 2.1×	234 1.2×	345 2.1×	282 3.2×	66	1.2k
Haza Nuzly Abdull Hamed Malaysia	12	233 0.8×	483 1.9×	155 0.8×	209 1.3×	20 0.2×	42	1.0k
Rongshan Yu Singapore	18	250 0.9×	290 1.1×	118 0.6×	206 1.3×	112 1.3×	103	1.2k
Yuhang Liu China	13	245 0.9×	199 0.8×	96 0.5×	91 0.6×	11 0.1×	53	629
Qi Song China	14	200 0.7×	237 0.9×	74 0.4×	229 1.4×	75 0.9×	56	805
Feng Yang China	15	249 0.9×	253 1.0×	73 0.4×	47 0.3×	20 0.2×	87	796
Ovidiu Daescu United States	16	170 0.6×	214 0.8×	149 0.8×	111 0.7×	22 0.3×	82	839
Weiwei Zong United States	7	244 0.9×	726 2.8×	62 0.3×	55 0.3×	46 0.5×	17	906

Countries citing papers authored by Qingqi Hong

Since Specialization

Citations

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

Fields of papers citing papers by Qingqi Hong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingqi Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Qingqi Hong. A scholar is included among the top collaborators of Qingqi Hong 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 Qingqi Hong. Qingqi Hong 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

Li, Yunxiang, et al.. (2025). STPNet: Scale-Aware Text Prompt Network for Medical Image Segmentation. IEEE Transactions on Image Processing. 34. 3169–3180. 1 indexed citations

Wang, Yining, et al.. (2025). A topology-preserving three-stage framework for fully-connected coronary artery extraction. Medical Image Analysis. 103. 103578–103578.

Hong, Qingqi, et al.. (2025). Endo-HDR: Dynamic endoscopic reconstruction with deformable 3D Gaussians and hierarchical depth regularization. Knowledge-Based Systems. 332. 114914–114914.

Zhang, Jiayin, Yanli Song, Qingqi Hong, et al.. (2025). Deciphering age- and sex-specific patterns of coronary artery atherosclerosis from a large Chinese cohort. Nature Communications. 16(1). 10616–10616.

Li, Zihan, Shuzhou Yang, Qingde Li, et al.. (2024). ScribFormer: Transformer Makes CNN Work Better for Scribble-Based Medical Image Segmentation. IEEE Transactions on Medical Imaging. 43(6). 2254–2265. 53 indexed citations breakdown →

Hong, Qingqi, et al.. (2024). NeuFG: Neural Fuzzy Geometric Representation for 3-D Reconstruction. IEEE Transactions on Fuzzy Systems. 32(11). 6340–6349.

Li, Zihan, et al.. (2023). ScribbleVC: Scribble-supervised Medical Image Segmentation with Vision-Class Embedding. 3384–3393. 15 indexed citations

Li, Zihan, Yunxiang Li, Qingde Li, et al.. (2023). LViT: Language Meets Vision Transformer in Medical Image Segmentation. IEEE Transactions on Medical Imaging. 43(1). 96–107. 135 indexed citations breakdown →

Yuan, Zheng, et al.. (2022). UGAN: Semi-supervised Medical Image Segmentation Using Generative Adversarial Network. 34. 1–6. 2 indexed citations

10.

Yu, Xiang, et al.. (2022). Transfer learning for medical images analyses: A survey. Neurocomputing. 489. 230–254. 136 indexed citations breakdown →

11.

Xu, Fei, Qingqi Hong, Kunhong Liu, et al.. (2021). A Multi-Resolution Deep Forest Framework with Hybrid Feature Fusion for CT Whole Heart Segmentation. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 1119–1124. 1 indexed citations

12.

Liu, Kunhong, et al.. (2021). The design of soft recoding-based strategies for improving error-correcting output codes. Applied Intelligence. 52(8). 8856–8873. 5 indexed citations

13.

Huang, Chenxi, Yisha Lan, Gaowei Xu, et al.. (2020). A Deep Segmentation Network of Multi-Scale Feature Fusion Based on Attention Mechanism for IVOCT Lumen Contour. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18(1). 62–69. 29 indexed citations

14.

Hong, Qingqi, Qingde Li, Beizhan Wang, et al.. (2020). High-quality vascular modeling and modification with implicit extrusion surfaces for blood flow computations. Computer Methods and Programs in Biomedicine. 196. 105598–105598. 3 indexed citations

15.

Gao, Jie, Kunhong Liu, Beizhan Wang, Dong Wang, & Qingqi Hong. (2020). An improved deep forest for alleviating the data imbalance problem. Soft Computing. 25(3). 2085–2101. 11 indexed citations

16.

Wu, Qingqiang, et al.. (2019). Frontier knowledge discovery and visualization in cancer field based on KOS and LDA. Scientometrics. 118(3). 979–1010. 8 indexed citations

17.

Liu, Kunhong, et al.. (2018). A New ECOC Algorithm for Multiclass Microarray Data Classification. 454–458. 3 indexed citations

18.

Hong, Qingqi, et al.. (2015). An implicit skeleton-based method for the geometry reconstruction of vasculatures. The Visual Computer. 32(10). 1251–1262. 7 indexed citations

19.

Hong, Qingqi, Qingde Li, Yan Li, et al.. (2014). 3D vasculature segmentation using localized hybrid level-set method. BioMedical Engineering OnLine. 13(1). 169–169. 17 indexed citations

20.

Hong, Qingqi. (2014). A survey on the visualization and reconstruction of vasculatures. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9069. 90690F–90690F. 2 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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