Ling Wang

3.4k total citations · 1 hit paper
104 papers, 1.8k citations indexed

About

Ling Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Ling Wang has authored 104 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 19 papers in Computer Vision and Pattern Recognition and 14 papers in Molecular Biology. Recurrent topics in Ling Wang's work include Topic Modeling (16 papers), Natural Language Processing Techniques (9 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Ling Wang is often cited by papers focused on Topic Modeling (16 papers), Natural Language Processing Techniques (9 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Ling Wang collaborates with scholars based in China, United States and South Korea. Ling Wang's co-authors include Chris Dyer, Isabel Trancoso, Silvio Amir, Alan W. Black, Phil Blunsom, Dani Yogatama, Tiago Luís, Luís Marujo, Lu Wang and Fuming Sun and has published in prestigious journals such as PLoS ONE, Materials Science and Engineering A and Molecules.

In The Last Decade

Ling Wang

94 papers receiving 1.7k 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.

Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation

2015 299 citations Ling Wang, Chris Dyer et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ling Wang China	20	734	244	187	179	119	104	1.8k
Shigang Li China	26	276 0.4×	613 2.5×	268 1.4×	138 0.8×	147 1.2×	215	2.4k
Li Sun China	25	350 0.5×	216 0.9×	304 1.6×	764 4.3×	69 0.6×	116	2.5k
Meiyu Huang China	22	553 0.8×	468 1.9×	152 0.8×	118 0.7×	300 2.5×	114	2.1k
Neha Sharma India	23	461 0.6×	392 1.6×	94 0.5×	204 1.1×	136 1.1×	326	2.3k
Tao Shen China	23	823 1.1×	454 1.9×	98 0.5×	66 0.4×	225 1.9×	101	2.1k
Martin Možina Slovenia	15	376 0.5×	66 0.3×	328 1.8×	100 0.6×	42 0.4×	41	1.9k
Jen‐Tzung Chien Taiwan	30	2.1k 2.8×	822 3.4×	205 1.1×	59 0.3×	27 0.2×	295	3.7k
Tomaž Hočevar Slovenia	4	268 0.4×	79 0.3×	305 1.6×	87 0.5×	56 0.5×	5	1.4k
Jinjiang Li China	26	416 0.6×	1.3k 5.2×	136 0.7×	97 0.5×	101 0.8×	278	3.1k

Countries citing papers authored by Ling Wang

Since Specialization

Citations

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

Fields of papers citing papers by Ling Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Wang

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

Cai, Yi, Di Wang, Ye Che, et al.. (2024). Multiple Localization Analysis of the Major QTL—sfw 2.2 for Controlling Single Fruit Weight Traits in Melon Based on SLAF Sequencing. Genes. 15(9). 1138–1138. 1 indexed citations

2.

Wang, Ling, et al.. (2024). Heart Diseases Recognition Model Based on HRV Feature Extraction over 12-Lead ECG Signals. Sensors. 24(16). 5296–5296. 3 indexed citations

3.

Xu, Nuo, Ling Wang, Huijun Liu, & Yan Wu. (2024). ‘Yise Ziqun’: A New Iris sanguinea Cultivar. HortScience. 59(7). 972–973. 1 indexed citations

4.

Wang, Lei, et al.. (2024). ‘Donglin Shuying’: A New Iris sanguinea Cultivar. HortScience. 59(5). 615–616. 1 indexed citations

5.

Wang, Ling, et al.. (2024). A new 3D robust chaotic mapping and its application to speech encryption. Chaos Solitons & Fractals. 184. 115038–115038. 13 indexed citations

6.

Wang, Ling, et al.. (2024). Major QTL Mapping and Candidate Gene Analysis of Branching Number Habits in Cucumis melo. Agronomy. 14(12). 3012–3012. 1 indexed citations

7.

Wang, Ling, et al.. (2024). Heart Disease Prediction Model based on HRV Emotional Features Fusion. 71–75.

8.

Wang, Ling, et al.. (2023). EEG and ECG-Based Multi-Sensor Fusion Computing for Real-Time Fatigue Driving Recognition Based on Feedback Mechanism. Sensors. 23(20). 8386–8386. 12 indexed citations

9.

Wang, Ling, et al.. (2023). Dataset construction method of cross-lingual summarization based on filtering and text augmentation. PeerJ Computer Science. 9. e1299–e1299. 2 indexed citations

10.

Yin, Chaohui, Zihao An, Bo Mu, et al.. (2023). The Influence of Urban Form on Land Surface Temperature: A Comprehensive Investigation from 2D Urban Land Use and 3D Buildings. Land. 12(9). 1802–1802. 19 indexed citations

11.

Chen, Yang, Ling Wang, Guorong Wang, et al.. (2023). Spatio-temporal features for fast early warning of unplanned self-extubation in ICU. Engineering Applications of Artificial Intelligence. 127. 107294–107294. 1 indexed citations

12.

Wang, Ling, Chris Dyer, Alan W. Black, et al.. (2015). Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation. 1520–1530. 299 indexed citations breakdown →

13.

Huang, De-Shuang, Kang-Hyun Jo, & Ling Wang. (2014). Intelligent Computing Methodologies: 10th International Conference, ICIC 2014, Taiyuan, China, August 3-6, 2014, Proceedings. CERN Document Server (European Organization for Nuclear Research). 5 indexed citations

14.

Monti, Johanna, et al.. (2014). Linguistic Evaluation of Support Verb Constructions by OpenLogos and Google Translate. Language Resources and Evaluation. 35–40. 7 indexed citations

15.

Wang, Ling. (2008). Relevance feedback of K-means optimization clustering based on image compression. Jisuanji gongcheng yu sheji. 1 indexed citations

16.

Wang, Ling, et al.. (2007). Complexation of tanshinone IIA with 2-hydroxypropyl-β-cyclodextrin: Effect on aqueous solubility, dissolution rate, and intestinal absorption behavior in rats. International Journal of Pharmaceutics. 341(1-2). 58–67. 53 indexed citations

17.

Wang, Ling. (2006). RESEARCH ON FUSION SCHEMES OF MULTI-BAND COLOR NIGHT VISION IMAGES BASED ON OPPONENT VISION PROPERTY. JOURNAL OF INFRARED AND MILLIMETER WAVES. 2 indexed citations

18.

Wang, Ling. (2003). Color Fusion Schemes for Night Vision Images Based on Lateral Inhibition. Journal of Beijing Institute of Technology. 2 indexed citations

19.

Wang, Ling. (2003). The recent development of technique of contour hedgerows.. Zhongguo shengtai nongye xuebao. 1 indexed citations

20.

Wang, Ling. (2002). Application of soil stabilization method by freezing to shield tunnelling. 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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