Yiting Li

657 total citations
11 papers, 440 citations indexed

About

Yiting Li is a scholar working on Civil and Structural Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Yiting Li has authored 11 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Civil and Structural Engineering, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Artificial Intelligence. Recurrent topics in Yiting Li's work include Infrastructure Maintenance and Monitoring (4 papers), Industrial Vision Systems and Defect Detection (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Yiting Li is often cited by papers focused on Infrastructure Maintenance and Monitoring (4 papers), Industrial Vision Systems and Defect Detection (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Yiting Li collaborates with scholars based in Singapore, China and Hong Kong. Yiting Li's co-authors include Jingjing Guo, Qian Wang, Soon Yiew Sia, Pooja Jagmohan, Robby T. Tan, Yee Liang Thian, Pengkun Liu, Qian Wang, Cheng Xiang and Prahlad Vadakkepat and has published in prestigious journals such as Environmental Pollution, Information Sciences and Neurocomputing.

In The Last Decade

Yiting Li

10 papers receiving 428 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yiting Li Singapore	7	155	112	75	71	70	11	440
Iason Katsamenis Greece	9	67 0.4×	47 0.4×	117 1.6×	70 1.0×	22 0.3×	15	249
Leonardo Tanzi Italy	9	20 0.1×	84 0.8×	82 1.1×	37 0.5×	66 0.9×	12	320
Marcello Chiurazzi Italy	8	56 0.4×	117 1.0×	12 0.2×	31 0.4×	3 0.0×	14	428
Jaewoo Park South Korea	11	16 0.1×	26 0.2×	14 0.2×	49 0.7×	6 0.1×	37	413
Tansel Halic United States	11	13 0.1×	189 1.7×	17 0.2×	41 0.6×	10 0.1×	59	513
Guoliang Ye China	11	210 1.4×	31 0.3×	52 0.7×	52 0.7×	1 0.0×	33	488
Jinbo Song China	6	100 0.6×	186 1.7×	10 0.1×	85 1.2×	3 0.0×	8	356
Siqi Liang China	11	15 0.1×	60 0.5×	39 0.5×	39 0.5×	8 0.1×	32	244
Sumathi Poobal India	6	552 3.6×	82 0.7×	45 0.6×	43 0.6×	2 0.0×	11	735
Yuanpeng Liu China	12	16 0.1×	126 1.1×	16 0.2×	14 0.2×	3 0.0×	31	311

Countries citing papers authored by Yiting Li

Since Specialization

Citations

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

Fields of papers citing papers by Yiting Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiting Li

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

All Works

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11 of 11 papers shown

Jiang, Yonglei, Yiting Li, Chen Gu, et al.. (2025). Carbon and air pollutant emission dynamics of small-scale industrial sectors based on CEMS: a case of tobacco curing industry. Environmental Pollution. 376. 126427–126427.

Liu, Ye, Shuang Hao, Kun Huang, et al.. (2024). An FPGA-based Ultra-High Performance and Scalable Optical Flow Hardware Accelerator for Autonomous Driving. 1–5. 2 indexed citations

Li, Yiting, et al.. (2024). Bilateral-Head Region-Based Convolutional Neural Networks: A Unified Approach for Incremental Few-Shot Object Detection. IEEE Transactions on Artificial Intelligence. 5(9). 4376–4390. 1 indexed citations

Fan, Qingsong, Yiting Li, Muhammet Deveci, Kaiyang Zhong, & Seifedine Kadry. (2024). LUD-YOLO: A novel lightweight object detection network for unmanned aerial vehicle. Information Sciences. 686. 121366–121366. 41 indexed citations

Li, Yiting, Haiyue Zhu, Jun Ma, Cheng Xiang, & Prahlad Vadakkepat. (2023). Incremental few-shot learning via implanting and consolidating. Neurocomputing. 559. 126800–126800. 4 indexed citations

Guo, Jingjing, Qian Wang, Shu Su, & Yiting Li. (2023). Informativeness‐guided active learning for deep learning–based façade defects detection. Computer-Aided Civil and Infrastructure Engineering. 38(17). 2408–2425. 20 indexed citations

Li, Yiting, Haiyue Zhu, Yu Cheng, et al.. (2021). Few-Shot Object Detection via Classification Refinement and Distractor Retreatment. 15390–15398. 60 indexed citations

Guo, Jingjing, Qian Wang, & Yiting Li. (2021). Evaluation-oriented façade defects detection using rule-based deep learning method. Automation in Construction. 131. 103910–103910. 29 indexed citations

Guo, Jingjing, Qian Wang, & Yiting Li. (2020). Semi‐supervised learning based on convolutional neural network and uncertainty filter for façade defects classification. Computer-Aided Civil and Infrastructure Engineering. 36(3). 302–317. 75 indexed citations

10.

Guo, Jingjing, Qian Wang, Yiting Li, & Pengkun Liu. (2020). Façade defects classification from imbalanced dataset using meta learning-based convolutional neural network. Computer-Aided Civil and Infrastructure Engineering. 35(12). 1403–1418. 74 indexed citations

11.

Thian, Yee Liang, et al.. (2019). Convolutional Neural Networks for Automated Fracture Detection and Localization on Wrist Radiographs. Radiology Artificial Intelligence. 1(1). e180001–e180001. 134 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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