Xiangying Jiang

1.6k total citations · 1 hit paper
35 papers, 966 citations indexed

About

Xiangying Jiang is a scholar working on Developmental and Educational Psychology, Language and Linguistics and Molecular Biology. According to data from OpenAlex, Xiangying Jiang has authored 35 papers receiving a total of 966 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Developmental and Educational Psychology, 9 papers in Language and Linguistics and 8 papers in Molecular Biology. Recurrent topics in Xiangying Jiang's work include Second Language Acquisition and Learning (12 papers), Biomedical Text Mining and Ontologies (7 papers) and EFL/ESL Teaching and Learning (7 papers). Xiangying Jiang is often cited by papers focused on Second Language Acquisition and Learning (12 papers), Biomedical Text Mining and Ontologies (7 papers) and EFL/ESL Teaching and Learning (7 papers). Xiangying Jiang collaborates with scholars based in United States, China and Canada. Xiangying Jiang's co-authors include William Grabe, Norbert Schmitt, Guanying Wang, Xinzheng Xu, Hagit Shatkay, Pengyuan Li, John Sabatini, Yasuyo Sawaki, Martin Ringwald and Judith A. Blake and has published in prestigious journals such as Bioinformatics, Modern Language Journal and TESOL Quarterly.

In The Last Decade

Xiangying Jiang

33 papers receiving 850 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.

The Percentage of Words Known in a Text and Reading Comprehension

2011 423 citations Xiangying Jiang, William Grabe et al. profile →

Peers

Xiangying Jiang

DEP

LL

AI

LLT

CVPR

Junkyu Lee United States

Ornella Mich Italy

Brian M. Slator United States

Hongying Zheng China

Vincenzo Lombardo Italy

Weiwei Yang China

Detmar Meurers Germany

Marie Bienkowski United States

Richard Power United Kingdom

Erin Shaw United States

Junkyu Lee United States

Xiangying Jiang

155 ×0.3

DEP

310 ×0.9

LL

154 ×0.5

AI

124 ×0.8

LLT

54 ×0.4

CVPR

Citations per year, relative to Xiangying Jiang Xiangying Jiang (= 1×) peers Junkyu Lee

Countries citing papers authored by Xiangying Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Xiangying Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangying Jiang

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

Kittredge, Audrey K., et al.. (2025). Mobile language app learners’ self-efficacy increases after using generative AI. Frontiers in Education. 10. 2 indexed citations

2.

Smith, Bryan, et al.. (2024). The effectiveness of Duolingo in developing receptive and productive language knowledge and proficiency. Language learning & technology. 28(1). 1–26. 1 indexed citations

3.

Jiang, Xiangying, et al.. (2024). Reading and Listening Outcomes of Learners in the Duolingo English Course for Japanese Speakers. 51–63.

4.

Jiang, Xiangying, et al.. (2021). Evaluating the reading and listening outcomes of beginning‐level Duolingo courses. Foreign Language Annals. 54(4). 974–1002. 19 indexed citations

5.

Li, Pengyuan, Xiangying Jiang, Gongbo Zhang, et al.. (2021). Utilizing image and caption information for biomedical document classification. Bioinformatics. 37(Supplement_1). i468–i476. 7 indexed citations

6.

Jiang, Xiangying, Pengyuan Li, James A. Kadin, et al.. (2020). Integrating image caption information into biomedical document classification in support of biocuration. Database. 2020. 6 indexed citations

7.

Jiang, Xiangying & William Grabe. (2019). Skills and strategies in foreign language reading. Dialnet (Universidad de la Rioja). 2–31. 1 indexed citations

8.

Li, Pengyuan, Xiangying Jiang, Chandra Kambhamettu, & Hagit Shatkay. (2017). Segmenting Compound Biomedical Figures into Their Constituent Panels. Lecture notes in computer science. 10456. 199–210. 2 indexed citations

9.

Xu, Xinzheng, et al.. (2016). Multimodal medical image fusion using PCNN optimized by the QPSO algorithm. Applied Soft Computing. 46. 588–595. 107 indexed citations

10.

Jiang, Xiangying. (2016). The Role of Oral Reading Fluency in ESL Reading Comprehension among Learners of Different First Language Backgrounds.. The reading matrix. 16(2). 227–242. 18 indexed citations

11.

Li, Pengyuan, et al.. (2016). UDEL CIS Working Notes in ImageCLEF 2016.. CLEF (Working Notes). 334–346. 4 indexed citations

12.

Xu, Xinzheng, Guanying Wang, Shifei Ding, Xiangying Jiang, & Zuopeng Zhao. (2015). A new method for constructing granular neural networks based on rule extraction and extreme learning machine. Pattern Recognition Letters. 67. 138–144. 9 indexed citations

13.

Wang, Guanying, et al.. (2015). A MODIFIED MODEL OF PULSE COUPLED NEURAL NETWORKS WITH ADAPTIVE PARAMETERS AND ITS APPLICATION ON IMAGE FUSION. ICIC express letters. Part B, Applications. 6(9). 2523–2530. 7 indexed citations

14.

Wang, Xiaolong, et al.. (2015). CIS UDEL Working Notes on ImageCLEF 2015: Compound Figure Detection Task.. CLEF (Working Notes). 4 indexed citations

15.

Grabe, William & Xiangying Jiang. (2015). The research-instruction cycle in second language reading. 130–146. 1 indexed citations

16.

Wang, Guanying, Xinzheng Xu, Xiangying Jiang, & Shifei Ding. (2015). Medical image registration based on self-adapting pulse-coupled neural networks and mutual information. Neural Computing and Applications. 27(7). 1917–1926. 4 indexed citations

17.

Jiang, Xiangying, Yasuyo Sawaki, & John Sabatini. (2012). Word Reading Efficiency, Text Reading Fluency, and Reading Comprehension Among Chinese Learners of English. Reading Psychology. 33(4). 323–349. 25 indexed citations

18.

Jiang, Xiangying. (2011). The Role of First Language Literacy and Second Language Proficiency in Second Language Reading Comprehension.. The reading matrix. 11(2). 177–190. 33 indexed citations

19.

Jiang, Xiangying. (2006). Cross-cultural pragmatic differences in US and Chinese press conferences: the case of the North Korea nuclear crisis. Discourse & Society. 17(2). 237–257. 31 indexed citations

20.

Jiang, Xiangying, Dilin Liu, & Peter Master. (2004). . TESOL Quarterly. 38(2). 357–357. 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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