Ji Xin

678 total citations
17 papers, 393 citations indexed

About

Ji Xin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Ji Xin has authored 17 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Ji Xin's work include Topic Modeling (13 papers), Natural Language Processing Techniques (9 papers) and Multimodal Machine Learning Applications (4 papers). Ji Xin is often cited by papers focused on Topic Modeling (13 papers), Natural Language Processing Techniques (9 papers) and Multimodal Machine Learning Applications (4 papers). Ji Xin collaborates with scholars based in Canada, China and Germany. Ji Xin's co-authors include Jimmy Lin, Yaoliang Yu, Raphael Tang, Jaejun Lee, Maosong Sun, Zhiyuan Liu, Yankai Lin, Rodrigo Nogueira, Lü Yan and Hao Zhu and has published in prestigious journals such as Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, Findings of the Association for Computational Linguistics: ACL 2022 and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Ji Xin

17 papers receiving 376 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ji Xin Canada	9	319	143	41	26	24	17	393
Manzil Zaheer United States	10	340 1.1×	82 0.6×	42 1.0×	17 0.7×	26 1.1×	23	397
Lingyun Song China	10	159 0.5×	120 0.8×	28 0.7×	18 0.7×	12 0.5×	25	257
Saksham Singhal China	7	368 1.2×	289 2.0×	20 0.5×	6 0.2×	9 0.4×	10	507
Devendra Singh Sachan United States	7	289 0.9×	118 0.8×	32 0.8×	11 0.4×	9 0.4×	11	331
Jaejun Lee South Korea	6	175 0.5×	86 0.6×	18 0.4×	11 0.4×	26 1.1×	22	233
Hangbo Bao China	5	279 0.9×	231 1.6×	23 0.6×	3 0.1×	19 0.8×	8	432
Quentin Anthony United States	7	234 0.7×	71 0.5×	52 1.3×	13 0.5×	26 1.1×	22	364
Hidekazu Oiwa Japan	6	215 0.7×	57 0.4×	36 0.9×	16 0.6×	7 0.3×	13	273
Yiwei Wang Singapore	7	203 0.6×	46 0.3×	50 1.2×	11 0.4×	10 0.4×	14	262
Ajinkya Kale United States	7	140 0.4×	165 1.2×	50 1.2×	13 0.5×	10 0.4×	15	274

Countries citing papers authored by Ji Xin

Since Specialization

Citations

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

Fields of papers citing papers by Ji Xin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ji Xin

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

All Works

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17 of 17 papers shown

Tang, Raphael, et al.. (2022). Temporal Early Exiting for Streaming Speech Commands Recognition. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 7567–7571. 8 indexed citations

Xin, Ji, et al.. (2022). Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representations. Findings of the Association for Computational Linguistics: ACL 2022. 13 indexed citations

Zhong, Wei, et al.. (2021). Approach Zero and Anserini at the CLEF-2021 ARQMath Track: Applying Substructure Search and BM25 on Operator Tree Path Tokens.. CLEF (Working Notes). 133–156. 2 indexed citations

Xin, Ji, Raphael Tang, Yaoliang Yu, & Jimmy Lin. (2021). BERxiT: Early Exiting for BERT with Better Fine-Tuning and Extension to Regression. 91–104. 52 indexed citations

Xin, Ji, Raphael Tang, Yaoliang Yu, & Jimmy Lin. (2021). The Art of Abstention: Selective Prediction and Error Regularization for Natural Language Processing. 22 indexed citations

Ma, Xueguang, et al.. (2021). Simple and Effective Unsupervised Redundancy Elimination to Compress Dense Vectors for Passage Retrieval. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 2854–2859. 8 indexed citations

Xin, Ji, et al.. (2021). Bag-of-Words Baselines for Semantic Code Search. 88–94. 3 indexed citations

Jiang, Zhiying, Raphael Tang, Ji Xin, & Jimmy Lin. (2021). How Does BERT Rerank Passages? An Attribution Analysis with Information Bottlenecks. 496–509. 3 indexed citations

Xin, Ji, et al.. (2021). Serverless BM25 Search and BERT Reranking.. 3–9. 2 indexed citations

10.

Xin, Ji, Rodrigo Nogueira, Yaoliang Yu, & Jimmy Lin. (2020). Early Exiting BERT for Efficient Document Ranking. 83–88. 34 indexed citations

11.

Xin, Ji, Raphael Tang, Jaejun Lee, Yaoliang Yu, & Jimmy Lin. (2020). DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference. 2246–2251. 167 indexed citations

12.

Jiang, Zhiying, Raphael Tang, Ji Xin, & Jimmy Lin. (2020). Inserting Information Bottlenecks for Attribution in Transformers. 3850–3857. 7 indexed citations

13.

Yan, Lü, Juntong Qi, Mingming Wang, Chong Wu, & Ji Xin. (2020). A Safe Landing Site Selection Method of UAVs Based on LiDAR Point Clouds. 6497–6502. 15 indexed citations

14.

Tang, Raphael, Jaejun Lee, Ji Xin, et al.. (2020). Showing Your Work Doesn’t Always Work. 2766–2772. 1 indexed citations

15.

Xin, Ji, Jimmy Lin, & Yaoliang Yu. (2019). What Part of the Neural Network Does This? Understanding LSTMs by Measuring and Dissecting Neurons. 5822–5829. 1 indexed citations

16.

Xin, Ji, Hao Zhu, Xu Han, Zhiyuan Liu, & Maosong Sun. (2018). Put It Back: Entity Typing with Language Model Enhancement. 993–998. 15 indexed citations

17.

Xin, Ji, Yankai Lin, Zhiyuan Liu, & Maosong Sun. (2018). Improving Neural Fine-Grained Entity Typing With Knowledge Attention. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 40 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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