Dong Wen

1.2k total citations · 1 hit paper
13 papers, 784 citations indexed

About

Dong Wen is a scholar working on General Health Professions, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Dong Wen has authored 13 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in General Health Professions, 3 papers in Molecular Biology and 3 papers in Artificial Intelligence. Recurrent topics in Dong Wen's work include Mobile Health and mHealth Applications (5 papers), Health Literacy and Information Accessibility (5 papers) and Biomedical Text Mining and Ontologies (3 papers). Dong Wen is often cited by papers focused on Mobile Health and mHealth Applications (5 papers), Health Literacy and Information Accessibility (5 papers) and Biomedical Text Mining and Ontologies (3 papers). Dong Wen collaborates with scholars based in China and United States. Dong Wen's co-authors include Jianbo Lei, Xingting Zhang, Jun Liang, Li Gao, Yuxi Jia, Lizhong Liang, Shaodian Zhang, Tian Kang, Noémie Elhadad and Nanfang Xu and has published in prestigious journals such as Journal of Medical Internet Research, Computer Methods and Programs in Biomedicine and International Journal of Medical Informatics.

In The Last Decade

Dong Wen

13 papers receiving 771 citations

Hit Papers

1 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.

How the public uses social media wechat to obtain health information in china: a survey study

2017 266 citations Xingting Zhang, Dong Wen et al. BMC Medical Informatics and Decision Making profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dong Wen China	11	239	130	110	102	77	13	784
Peter Anderberg Sweden	21	224 0.9×	107 0.8×	84 0.8×	126 1.2×	102 1.3×	87	1.5k
Xingting Zhang China	11	209 0.9×	127 1.0×	61 0.6×	83 0.8×	36 0.5×	14	632
Blaine Reeder United States	16	340 1.4×	72 0.6×	73 0.7×	41 0.4×	88 1.1×	52	944
Carlos Luís Parra-Calderón Spain	17	284 1.2×	76 0.6×	79 0.7×	107 1.0×	35 0.5×	80	1.0k
Anne Moorhead United Kingdom	12	384 1.6×	138 1.1×	87 0.8×	109 1.1×	60 0.8×	40	1.0k
Abu Saleh Mohammad Mosa United States	13	611 2.6×	67 0.5×	87 0.8×	74 0.7×	87 1.1×	51	1.2k
Alexandra Queirós Portugal	19	265 1.1×	79 0.6×	83 0.8×	32 0.3×	37 0.5×	87	1.1k
Monique Tabak Netherlands	19	459 1.9×	106 0.8×	215 2.0×	102 1.0×	61 0.8×	75	1.2k
Aart van Halteren Netherlands	19	341 1.4×	107 0.8×	82 0.7×	68 0.7×	124 1.6×	77	1.3k
Octavio Rivera-Romero Spain	18	372 1.6×	125 1.0×	50 0.5×	107 1.0×	26 0.3×	61	971

Countries citing papers authored by Dong Wen

Since Specialization

Citations

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

Fields of papers citing papers by Dong Wen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dong Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Dong Wen. A scholar is included among the top collaborators of Dong Wen 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 Dong Wen. Dong Wen 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:

13 of 13 papers shown

Zhang, Xingting, Ken Chen, Dong Wen, et al.. (2019). Development of a Consumer Health Vocabulary by Mining Health Forum Texts Based on Word Embedding: Semiautomatic Approach. JMIR Medical Informatics. 7(2). e12704–e12704. 10 indexed citations

Wen, Dong, et al.. (2018). Evaluating the Validity of Current Mainstream Wearable Devices in Fitness Tracking Under Various Physical Activities: Comparative Study. JMIR mhealth and uhealth. 6(4). e94–e94. 224 indexed citations

Jia, Yuxi, et al.. (2018). Perceived user preferences and usability evaluation of mainstream wearable devices for health monitoring. PeerJ. 6. e5350–e5350. 35 indexed citations

Zhang, Xingting, et al.. (2018). The Current Status and a New Approach for Chinese Doctors to Obtain Medical Knowledge Using Social Media: A Study of WeChat. Wireless Communications and Mobile Computing. 2018(1). 19 indexed citations

Wen, Dong, et al.. (2017). The challenges of emerging HISs in bridging the communication gaps among physicians and nurses in China: an interview study. BMC Medical Informatics and Decision Making. 17(1). 85–85. 4 indexed citations

Wen, Dong, et al.. (2017). Evaluating the Consistency of Current Mainstream Wearable Devices in Health Monitoring: A Comparison Under Free-Living Conditions. Journal of Medical Internet Research. 19(3). e68–e68. 93 indexed citations

Zhang, Xingting, Dong Wen, Jun Liang, & Jianbo Lei. (2017). How the public uses social media wechat to obtain health information in china: a survey study. BMC Medical Informatics and Decision Making. 17(S2). 66–66. 266 indexed citations breakdown →

Wen, Dong, et al.. (2017). Enabling Health Reform through Regional Health Information Exchange: A Model Study from China. Journal of Healthcare Engineering. 2017(2017). 1–9. 13 indexed citations

Wen, Dong, et al.. (2017). Physicians’ perceptions of physician-nurse interactions and information needs in China. Informatics for Health and Social Care. 43(1). 12–21. 3 indexed citations

10.

Kang, Tian, Shaodian Zhang, Nanfang Xu, et al.. (2016). Detecting negation and scope in Chinese clinical notes using character and word embedding. Computer Methods and Programs in Biomedicine. 140. 53–59. 18 indexed citations

11.

Wen, Dong, et al.. (2016). Assessing and comparing the usability of Chinese EHRs used in two Peking University hospitals to EHRs used in the US: A method of RUA. International Journal of Medical Informatics. 89. 32–42. 14 indexed citations

12.

Zhang, Shaodian, Tian Kang, Xingting Zhang, et al.. (2016). Speculation detection for Chinese clinical notes: Impacts of word segmentation and embedding models. Journal of Biomedical Informatics. 60. 334–341. 30 indexed citations

13.

Wen, Dong, Xingting Zhang, & Jianbo Lei. (2016). Consumers’ perceived attitudes to wearable devices in health monitoring in China: A survey study. Computer Methods and Programs in Biomedicine. 140. 131–137. 55 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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