Hong Han

562 total citations · 1 hit paper
59 papers, 373 citations indexed

About

Hong Han is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Hong Han has authored 59 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Hong Han's work include Video Surveillance and Tracking Methods (13 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Image Processing Techniques and Applications (7 papers). Hong Han is often cited by papers focused on Video Surveillance and Tracking Methods (13 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Image Processing Techniques and Applications (7 papers). Hong Han collaborates with scholars based in China, United States and Singapore. Hong Han's co-authors include Yingchun Fan, Shengcai Liao, Stan Z. Li, Zhen Lei, Minglei Tong, Lu Gan, Junyi Yin, Kaipeng Zhang, Duan‐Chao Wang and Yina Liu and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and IEEE Access.

In The Last Decade

Hong Han

49 papers receiving 363 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.

Passive Isothermal Flexible Sensor Enabled by Smart Thermal‐Regulating Aerogels

2025 25 citations Hong Han et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hong Han China	8	249	187	73	35	31	59	373
Stephen Vidas Australia	10	235 0.9×	225 1.2×	98 1.3×	13 0.4×	30 1.0×	14	388
Iman Abaspur Kazerouni Iran	6	157 0.6×	168 0.9×	45 0.6×	26 0.7×	17 0.5×	18	293
Dong‐Geol Choi South Korea	10	239 1.0×	168 0.9×	60 0.8×	53 1.5×	68 2.2×	37	423
Denis Chekhlov United Kingdom	8	331 1.3×	280 1.5×	93 1.3×	26 0.7×	25 0.8×	8	434
Tao Xiao China	6	147 0.6×	180 1.0×	83 1.1×	35 1.0×	31 1.0×	18	349
Jianwen Chen China	10	98 0.4×	185 1.0×	33 0.5×	29 0.8×	42 1.4×	57	373
Guoxuan Zhang China	11	293 1.2×	355 1.9×	123 1.7×	16 0.5×	46 1.5×	29	473
Toru Kaneko Japan	12	272 1.1×	124 0.7×	36 0.5×	14 0.4×	50 1.6×	65	394
Marcelo Saval-Calvo Spain	12	201 0.8×	73 0.4×	46 0.6×	86 2.5×	24 0.8×	33	323

Countries citing papers authored by Hong Han

Since Specialization

Citations

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

Fields of papers citing papers by Hong Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Han

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

Han, Hong, et al.. (2025). Optimization strategies for cultural landscape recreational safety patterns to mitigate urban heat risks. International Journal of Environmental Science and Technology. 23(2).

2.

Bian, Kun, et al.. (2025). Learning-infused optimization for evolutionary computation. Swarm and Evolutionary Computation. 95. 101930–101930. 1 indexed citations

3.

Zhou, You, et al.. (2025). LLVM-drone: A synergistic framework integrating large language models and vision models for visual tasks in unmanned aerial vehicles. Knowledge-Based Systems. 327. 114190–114190.

4.

Han, Hong, et al.. (2025). FGS-NeRF: A fast glossy surface reconstruction method based on voxel and reflection directions. Image and Vision Computing. 155. 105455–105455.

5.

Zhang, Han, et al.. (2024). NUS-Emo at SemEval-2024 Task 3: Instruction-Tuning LLM for Multimodal Emotion-Cause Analysis in Conversations. 1589–1596. 3 indexed citations

6.

Xu, Yonggang, et al.. (2023). Health Condition Identification and Quantitative Assessment of Emergency Diesel Generator Sets Based on Back Propagation Neural Network and Mahalanobis Distance. Journal of Physics Conference Series. 2532(1). 12019–12019. 2 indexed citations

7.

Chen, Hang, et al.. (2022). Toward High-quality Face-Mask Occluded Restoration. ACM Transactions on Multimedia Computing Communications and Applications. 19(1). 1–23. 11 indexed citations

8.

Wu, Jiaji, et al.. (2022). Predicting Social Events with Multimodal Fusion of Spatial and Temporal Dynamic Graph Representations. Big Data. 10(5). 440–452. 1 indexed citations

9.

Han, Hong, et al.. (2022). Research on Risk Prediction of Rainstorm and Flood Disaster Based on GA-BP Neural Network. 1 indexed citations

10.

Han, Hong. (2019). The Reference of China's Regional Cooperation and Development Experience to the Cooperation of Huaihai Economic Zone. Academic Journal of Humanities & Social Sciences. 2(2). 1 indexed citations

11.

Han, Hong, et al.. (2014). A Fuzzy Clustering Algorithm of Automatic Classification Based on EnFCM. Advanced materials research. 989-994. 1489–1492.

12.

Han, Hong, et al.. (2009). Human Detection Based on Second Generation Bandelet Transform. 11. 1274–1277. 1 indexed citations

13.

Han, Hong. (2008). Revision of the genus Xenozancla Warren,1893 (Lepidoptera:Geometridae:Geometrinae) with an analysis of its distribution pattern. Acta Entomologica Sinica. 1 indexed citations

14.

Han, Hong. (2008). STUDY ON ACCELERATION TECHNIQUE OF CIRCULATION ITERATIVE RESTORATION ALGORITHM FOR INFRARED TARGET IMAGES. JOURNAL OF INFRARED AND MILLIMETER WAVES. 2 indexed citations

15.

Han, Hong, et al.. (2007). Characterization of Image Space of DOG Wavelet Transform. Journal of Mathematical Research and Exposition. 1 indexed citations

16.

Han, Hong. (2006). A taxonomic study of three genera newly recorded from China (Lepidoptera: Geometridae: Geometrinae). Acta Entomologica Sinica. 1 indexed citations

17.

Han, Hong. (2005). REGULARIZED RESTORATION ALGORITHM OF ASTRONAUTCAL TURBULENCE-DEGRADED IMAGES USING MAXIMUM-LIKELIHOOD ESTIMATION. JOURNAL OF INFRARED AND MILLIMETER WAVES. 3 indexed citations

18.

Han, Hong. (2003). Algebraic restoration for space variant blurring image in rotation motion. Infrared and Laser Engineering.

19.

Han, Hong, Chongzhao Ran, Hongyan Zhu, & Rong Wen. (2003). Multi-target tracking based on multi-sensor information fusion with fuzzy inference. 1421–1425. 4 indexed citations

20.

Han, Hong. (2003). FAST RESTORATION ALGORITHM FOR TURBULENCE-DEGRADED IMAGES BASED ON WAVELET DECOMPOSITION. JOURNAL OF INFRARED AND MILLIMETER WAVES. 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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