Feng Ji

625 total citations
25 papers, 211 citations indexed

About

Feng Ji is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Feng Ji has authored 25 papers receiving a total of 211 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 5 papers in Information Systems and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Feng Ji's work include Topic Modeling (17 papers), Natural Language Processing Techniques (11 papers) and Speech and dialogue systems (4 papers). Feng Ji is often cited by papers focused on Topic Modeling (17 papers), Natural Language Processing Techniques (11 papers) and Speech and dialogue systems (4 papers). Feng Ji collaborates with scholars based in China, United States and Italy. Feng Ji's co-authors include Haiqing Chen, Wei Zhou, Chenliang Li, Yin Zhang, Yiming Yang, Hui Zhang, Qianglong Chen, Yangyang Guo, Xinjing Huang and Liqiang Nie and has published in prestigious journals such as ACM Transactions on Information Systems, Applied Psycholinguistics and Second language Research.

In The Last Decade

Feng Ji

24 papers receiving 203 citations

Peers

Feng Ji

AI

CVPR

IS

ECP

DEP

Tatsuki Kuribayashi Japan

Pascual Martínez-Gómez Japan

Johannes Bjerva Denmark

Ruiji Fu China

Clara Meister Switzerland

Ján Staš Slovakia

Sobha Lalitha Devi India

Burcu Can Türkiye

Adhiguna Kuncoro United Kingdom

Katharina Kann United States

Tatsuki Kuribayashi Japan

Feng Ji

214 ×1.2

AI

36 ×0.7

CVPR

33 ×0.8

IS

7 ×0.4

ECP

9 ×0.6

DEP

Citations per year, relative to Feng Ji Feng Ji (= 1×) peers Tatsuki Kuribayashi

Countries citing papers authored by Feng Ji

Since Specialization

Citations

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

Fields of papers citing papers by Feng Ji

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Ji

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

All Works

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20 of 20 papers shown

1.

Shuai, Yanmin, et al.. (2025). The structure of the bilingual lexicon: Evidence from a semantic blocked word translation task with Chinese–English bilinguals. Second language Research. 42(1). 31–52.

2.

Chen, Youguo, et al.. (2022). Interactions of stimulus quality and semantic context on N400 in visual word recognition. Applied Psycholinguistics. 43(2). 389–410. 3 indexed citations

3.

Chen, Qianglong, et al.. (2021). KACE: Generating Knowledge Aware Contrastive Explanations for Natural Language Inference. 2516–2527. 6 indexed citations

4.

Pan, Haojie, Cen Chen, Chengyu Wang, et al.. (2021). Learning to Expand. 4055–4064. 1 indexed citations

5.

Qiu, Minghui, Xinjing Huang, Cen Chen, et al.. (2021). Reinforced History Backtracking for Conversational Question Answering. Proceedings of the AAAI Conference on Artificial Intelligence. 35(15). 13718–13726. 17 indexed citations

6.

Shi, Yunzhou, Zhiling Luo, Pengcheng Zhu, et al.. (2020). G2T: Generating Fluent Descriptions for Knowledge Graph. 1861–1864. 2 indexed citations

7.

Hu, Wenpeng, Mengyu Wang, Bing Liu, et al.. (2020). Transformation of Dense and Sparse Text Representations. 3257–3267. 2 indexed citations

8.

Fu, Zhenxin, Shaobo Cui, Mingyue Shang, et al.. (2020). Context-to-Session Matching: Utilizing Whole Session for Response Selection in Information-Seeking Dialogue Systems. 1605–1613. 9 indexed citations

9.

Chen, Qianglong, Feng Ji, Haiqing Chen, & Yin Zhang. (2020). Improving Commonsense Question Answering by Graph-based Iterative Retrieval over Multiple Knowledge Sources. 17 indexed citations

10.

Fu, Zhenxin, Shaobo Cui, Feng Ji, et al.. (2020). Query-to-Session Matching: Do NOT Forget History and Future during Response Selection for Multi-Turn Dialogue Systems. 365–374. 1 indexed citations

11.

Lin, Zehao, Xinjing Huang, Feng Ji, Haiqing Chen, & Yin Zhang. (2019). Task-Oriented Conversation Generation Using Heterogeneous Memory Networks. 4557–4566. 14 indexed citations

12.

Huang, Minlie, et al.. (2019). Memory-Augmented Dialogue Management for Task-Oriented Dialogue Systems. ACM Transactions on Information Systems. 37(3). 1–30. 18 indexed citations

13.

Li, Chenliang, et al.. (2019). Review-Driven Answer Generation for Product-Related Questions in E-Commerce. 411–419. 27 indexed citations

14.

Hu, Wenpeng, Bing Liu, Feng Ji, et al.. (2019). Learning from Positive and Unlabeled Data with Adversarial Training. 1 indexed citations

15.

Qiu, Minghui, Yang Liu, Feng Ji, et al.. (2018). Transfer Learning for Context-Aware Question Matching in Information-seeking Conversations in E-commerce. 208–213. 12 indexed citations

16.

Li, Chenliang, Wei Zhou, Feng Ji, Yu Duan, & Haiqing Chen. (2018). A Deep Relevance Model for Zero-Shot Document Filtering. 2300–2310. 11 indexed citations

17.

Zhang, Hui, et al.. (2016). Compositionality as a Prototypical Category. 2(1). 69–97. 1 indexed citations

18.

Zhao, Jiayi, Xipeng Qiu, Zhang Shu, Feng Ji, & Xuanjing Huang. (2012). Part-of-Speech Tagging for Chinese-English Mixed Texts with Dynamic Features. Empirical Methods in Natural Language Processing. 1379–1388. 3 indexed citations

19.

Elmasri, Ramez, Jack Fu, & Feng Ji. (2007). Multi-level Conceptual Modeling for Biomedical Data and Ontologies Integration. 29. 589–594. 4 indexed citations

20.

Ji, Feng, et al.. (2007). Mediated taxonomy system for bioinformatics data integration. 123–130. 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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